Overview

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Dataset statistics

Number of variables350
Number of observations3972
Missing cells821949
Missing cells (%)59.1%
Total size in memory11.3 MiB
Average record size in memory2.9 KiB

Variable types

Text22
Numeric216
DateTime3
Unsupported82
Boolean27

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w1_experimentidexperiment id
w1_fillinquestfillinquest
w1_lastpagelast page
w1_submitdatedate of submission
w1_startlanguagestart language
w1_startdateStart date
w1_datestampdatestamp
w1_refurl reference url
w1_A00_1Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?
w1_A00_2Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?
w1_A01Which gender were you born? 1. Male, 2. Female?
w1_A02When were you born? Year:
w1_A03What is your nationality? [List, see Appendix]
w1_A03JLUWhat is your nationality? [List, see Appendix]
w1_A04AMRITAQuestion: In what faculty/department are you studying? | Answer:
w1_A04AMRITA_otherQuestion: In what faculty/department are you studying? | Answer:
w1_A04AAUQuestion: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment
w1_A04JLUQuestion: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy
w1_A04LSEQuestion: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics
w1_A04NUMQuestion: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities
w1_A04UCQuestion: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas
w1_A04UNITNQuestion: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures
w1_A04IPICYTQuestion: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]
w1_A05Type of degree: 1. BSc, 2. MSc, 3.PhD
w1_A05UNITNType of degree: 1. BSc, 2. MSc, 3. 5 years
w1_A05AMRITAType of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch
w1_A06Programme: 1. Full Time, 2. Part Time
w1_A07[Not for LSE if A05=2 AND A06=1] Course year
w1_A08You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year
w1_A09 [Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]
w1_A09UNITNWhere do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A09UCWhere do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A10UNITNAnd exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte
w1_A10AAUAnd exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum
w1_A10NUMAnd exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]
w1_A10LSEAnd exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London
w1_A10UCAnd exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta
w1_A10IPICYTAnd exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]
w1_A11NUMWhat kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house
w1_A11 What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends
w1_B01_1Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party
w1_B01_2Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings
w1_B01_3Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away
w1_B01_4Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings
w1_B01_5Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination
w1_B01_6Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot
w1_B01_7Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems
w1_B01_8Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place
w1_B01_9Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time
w1_B01_10Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas
w1_B01_11Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties
w1_B01_12Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions
w1_B01_13Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order
w1_B01_14Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily
w1_B01_15Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas
w1_B01_16Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background
w1_B01_17Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others
w1_B01_18Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things
w1_B01_19Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue
w1_B01_20Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination
w1_B02_1Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.
w1_B02_2Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.
w1_B02_3Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.
w1_B02_4Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.
w1_B02_5Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.
w1_B02_6Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.
w1_B02_7Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.
w1_B02_8Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.
w1_B02_9Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.
w1_B02_10Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.
w1_B02_11Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.
w1_B02_12Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.
w1_B02_13Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.
w1_B02_14Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).
w1_B02_15Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.
w1_B02_16Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.
w1_B02_17Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.
w1_B02_18Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.
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w1_C01_1How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous
w1_C01_2How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous
w1_C01_3How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously
w1_C01_4How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence
w1_C02_1How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)
w1_C02_2How often do you take notes in class? (1 “never” – 6 “very often”)
w1_C02_3How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)
w1_C02_4How often do you audio record the lecture? (1 “never” – 6 “very often”)
w1_C02_5How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)
w1_C02_6How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)
w1_C02_7How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)
w1_C02_8How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)
w1_C02_9How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)
w1_C02_10How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)
w1_C02_11How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)
w1_C02_12How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)
w1_D01About how many university students can you contact for help in studying?
w1_D02Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]
w1_D03How many informal study groups do you participate in?
w1_D04About how many people are in the informal study group? If you have more than one, think about the one you meet most often
w1_D05How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week
w1_E01_1How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo
w1_E01_2How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook
w1_E01_3How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn
w1_E01_4How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube
w1_E01_5How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram
w1_E01_6How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram
w1_E01_7How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest
w1_E01_8How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit
w1_E01_9How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr
w1_E01_10How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger
w1_E01_11How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp
w1_E01_12How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts
w1_E01_13How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype
w1_E01_14How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom
w1_E01_15How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat
w1_E01_16How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder
w1_E01_17How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat
w1_E01_18How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber
w1_E01_19How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok
w1_E01JLU_1How often do use the following social networking channels? | Answer: Weibo(微博)
w1_E01JLU_2How often do use the following social networking channels? | Answer: LinkedIn
w1_E01JLU_3How often do use the following social networking channels? | Answer: Bilibili
w1_E01JLU_4How often do use the following social networking channels? | Answer: Acfun
w1_E01JLU_5How often do use the following social networking channels? | Answer: lvzhou(绿洲)
w1_E01JLU_6How often do use the following social networking channels? | Answer: Telegram
w1_E01JLU_7How often do use the following social networking channels? | Answer: Pinterest
w1_E01JLU_8How often do use the following social networking channels? | Answer: Huaban(花瓣)
w1_E01JLU_9How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)
w1_E01JLU_10How often do use the following social networking channels? | Answer: Reddit
w1_E01JLU_11How often do use the following social networking channels? | Answer: Tieba(贴吧)
w1_E01JLU_12How often do use the following social networking channels? | Answer: Douban(豆瓣小组)
w1_E01JLU_13How often do use the following social networking channels? | Answer: Skype
w1_E01JLU_14How often do use the following social networking channels? | Answer: Zoom
w1_E01JLU_15How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)
w1_E01JLU_16How often do use the following social networking channels? | Answer: DingDing(钉钉)
w1_E01JLU_17How often do use the following social networking channels? | Answer: Tinder
w1_E01JLU_18How often do use the following social networking channels? | Answer: Tantan(探探)
w1_E01JLU_19How often do use the following social networking channels? | Answer: Momo(陌陌)
w1_E01JLU_20How often do use the following social networking channels? | Answer: WeChat(微信)
w1_E01JLU_21How often do use the following social networking channels? | Answer: QQ
w1_E01JLU_22How often do use the following social networking channels? | Answer: TikTok(抖音)
w1_E01JLU_23How often do use the following social networking channels? | Answer: Kuaishou(快手)
w1_E01JLU_24How often do use the following social networking channels? | Answer: Huoshan (火山小视频)
w1_E02_1Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)
w1_E02_2Do you use social networking sites to do research work? (1 “never” – 6 “very often”)
w1_E02_3Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)
w1_E02_4Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)
w1_E02_5Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)
w1_E02_6Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)
w1_E02_7Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)
w1_E02_8Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)
w1_E02_9Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)
w1_E02_10Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)
w1_E02_11Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)
w1_E02_12Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)
w1_E02_13Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)
w1_E02_14Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)
w1_E02_15Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)
w1_E02_16Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)
w1_E02_17Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)
w1_E02_18Do you use social networking sites for reading news? (1 “never” – 6 “very often”)
w1_E02_19Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)
w1_E02_20Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)
w1_E02_21
w1_E03You know what a chatbot is? 1. Yes, 2. No [go to F01]
w1_E04Currently, do you use some chatbot? 1. Yes [go to E06], 2. No
w1_E05In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]
w1_E06How many chatbot apps have you installed on your smartphone? N.|__|
w1_E07Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)
w1_E08How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day
w1_E09_1How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_2How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_3How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_4How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_5How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_6How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_7How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_F01Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]
w1_F02
w1_F03_1Please mark the categories of interest of the society(ies) you belong to: Faith
w1_F03_2Please mark the categories of interest of the society(ies) you belong to: Arts and Performance
w1_F03_3Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F03_4Please mark the categories of interest of the society(ies) you belong to: Cultural and National
w1_F03_5Please mark the categories of interest of the society(ies) you belong to: Careers
w1_F03_6Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity
w1_F03_7Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F03_8Please mark the categories of interest of the society(ies) you belong to: Media
w1_F03_9Please mark the categories of interest of the society(ies) you belong to: Sport
w1_F03_10Please mark the categories of interest of the society(ies) you belong to: Recreational
w1_F03_otherPlease mark the categories of interest of the society(ies) you belong to: Other, specify: ________
w1_F04_1Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith
w1_F04_2Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance
w1_F04_3Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F04_4Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National
w1_F04_5Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers
w1_F04_6Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity
w1_F04_7Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F04_8Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media
w1_F04_9Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport
w1_F04_10Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational
w1_F04_otherPlease mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify
w1_G01_1Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO
w1_G01_2Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO
w1_G01_3Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO
w1_G01_4Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO
w1_G01_5Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO
w1_G01_6Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO
w1_G01_7Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO
w1_G01_8Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO
w1_G01_9Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO
w1_G02_1How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often
w1_G02_2How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often
w1_G02_3How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often
w1_G02_4How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often
w1_G02_5How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often
w1_G02_6How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often
w1_G02_7How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often
w1_G02_8How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often
w1_G02_9How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often
w1_G02_10How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often
w1_G02_11How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often
w1_G02_12How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often
w1_G02_13How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often
w1_G02_14How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often
w1_G02_15How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often
w1_G02_16How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often
w1_G03_1Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often
w1_G03_2Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often
w1_G03_3Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often
w1_G03_4Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often
w1_G03_5Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often
w1_G03_6Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often
w1_G03_7Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often
w1_G03_8Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often
w1_G03_9Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often
w1_G03_10Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often
w1_G04_1During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_2During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_3During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_4During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_5During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_6During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_7During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often
w1_G04_8During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often
w1_G04_9During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often
w1_G04_10During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often
w1_G05_1During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G05_2During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G06Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400
w1_G07_1During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G07_2During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G08_1Which kind of books did you read? (tick all that apply): Literature & Novels
w1_G08_2Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy
w1_G08_3Which kind of books did you read? (tick all that apply): Mystery & Thrillers
w1_G08_4Which kind of books did you read? (tick all that apply): History
w1_G08_5Which kind of books did you read? (tick all that apply): Biographies
w1_G08_6Which kind of books did you read? (tick all that apply): Health, Mind & Body
w1_G08_7Which kind of books did you read? (tick all that apply): Other kind of books
w1_G09In the last year or so, approximately how many books have you read (not for study)? |__|__|
w1_G10_1Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_2Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_3Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_4Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G11_1Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_G11_2Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_H01fWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01f_otherWhich is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____
w1_H01mWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01m_otherWhich is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____
w1_H01fLSE
w1_H01mLSE
w1_H02fWhen you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03afMore precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03af_otherMore precisely he or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bfw1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bf_otherw1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____
w1_H02mWhen you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03amMore precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03am_otherMore precisely she or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bmw1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bm_other w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____
w1_I00Do you want to participate? 1. Yes, 2. No [go to I05]
w1_I01 Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’
w1_I03How many Mobile phones do you have? N. |__|
w1_I04 I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]
w1_BFI15_1Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.
w1_BFI15_2Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.
w1_BFI15_3Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.
w1_BFI15_4Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.
w1_BFI15_5Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.
w1_BFI15_6Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.
w1_BFI15_7Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.
w1_BFI15_8Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.
w1_BFI15_9Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.
w1_BFI15_10Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.
w1_BFI15_11Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.
w1_BFI15_12Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.
w1_BFI15_13Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.
w1_BFI15_14Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.
w1_BFI15_15Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.
w1_GT_BF15
w1_N01How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____
w1_N01_otherHow did you make a decision to become a student? | Answer: Other, please specify: ____
w1_N02Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]
w1_N03From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii
w1_N04For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years
w1_N05_1Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_2Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_3Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_4Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_5Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_6Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_7Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_8Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N06Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____
w1_N06_otherPlease, give the reason to migrate to the city. | Answer: Other, please specify: ____
w1_interviewtimetime of interview
w1_GT_A0
w1_GT_A1
w1_GT_B
w1_GT_C
w1_GT_D
w1_GT_E
w1_GT_F
w1_GT_G1
w1_GT_G2
w1_GT_G3
w1_GT_H1
w1_GT_H2
w1_GT_I1
w1_GT_I2
w1_GT_N

Alerts

w1_experimentid has constant value "wenetMongolia" Constant
w1_F03_1 is highly imbalanced (88.1%) Imbalance
w1_F03_2 is highly imbalanced (89.9%) Imbalance
w1_F03_3 is highly imbalanced (84.9%) Imbalance
w1_F03_4 is highly imbalanced (91.5%) Imbalance
w1_F03_5 is highly imbalanced (76.8%) Imbalance
w1_F03_6 is highly imbalanced (77.4%) Imbalance
w1_F03_7 is highly imbalanced (95.4%) Imbalance
w1_F03_8 is highly imbalanced (95.6%) Imbalance
w1_F03_9 is highly imbalanced (90.4%) Imbalance
w1_F03_10 is highly imbalanced (93.1%) Imbalance
w1_F04_1 is highly imbalanced (89.0%) Imbalance
w1_F04_2 is highly imbalanced (88.4%) Imbalance
w1_F04_3 is highly imbalanced (86.1%) Imbalance
w1_F04_4 is highly imbalanced (94.1%) Imbalance
w1_F04_5 is highly imbalanced (79.3%) Imbalance
w1_F04_6 is highly imbalanced (72.8%) Imbalance
w1_F04_7 is highly imbalanced (93.1%) Imbalance
w1_F04_8 is highly imbalanced (95.8%) Imbalance
w1_F04_9 is highly imbalanced (84.4%) Imbalance
w1_F04_10 is highly imbalanced (93.6%) Imbalance
w1_G08_3 is highly imbalanced (60.3%) Imbalance
w1_G08_5 is highly imbalanced (58.0%) Imbalance
w1_G08_6 is highly imbalanced (53.0%) Imbalance
w1_lastpage has 811 (20.4%) missing values Missing
w1_submitdate has 2136 (53.8%) missing values Missing
w1_refurl has 806 (20.3%) missing values Missing
w1_A00_1 has 811 (20.4%) missing values Missing
w1_A00_2 has 811 (20.4%) missing values Missing
w1_A01 has 1213 (30.5%) missing values Missing
w1_A02 has 1211 (30.5%) missing values Missing
w1_A03 has 897 (22.6%) missing values Missing
w1_A03JLU has 3972 (100.0%) missing values Missing
w1_A04AMRITA has 3972 (100.0%) missing values Missing
w1_A04AMRITA_other has 3972 (100.0%) missing values Missing
w1_A04AAU has 3972 (100.0%) missing values Missing
w1_A04JLU has 3972 (100.0%) missing values Missing
w1_A04LSE has 3972 (100.0%) missing values Missing
w1_A04NUM has 1216 (30.6%) missing values Missing
w1_A04UC has 3972 (100.0%) missing values Missing
w1_A04UNITN has 3972 (100.0%) missing values Missing
w1_A04IPICYT has 3972 (100.0%) missing values Missing
w1_A05 has 1203 (30.3%) missing values Missing
w1_A05UNITN has 3972 (100.0%) missing values Missing
w1_A05AMRITA has 3972 (100.0%) missing values Missing
w1_A06 has 1203 (30.3%) missing values Missing
w1_A07 has 1228 (30.9%) missing values Missing
w1_A08 has 1242 (31.3%) missing values Missing
w1_A09 has 1204 (30.3%) missing values Missing
w1_A09UNITN has 3972 (100.0%) missing values Missing
w1_A09UC has 3972 (100.0%) missing values Missing
w1_A10UNITN has 3972 (100.0%) missing values Missing
w1_A10AAU has 3972 (100.0%) missing values Missing
w1_A10NUM has 2167 (54.6%) missing values Missing
w1_A10LSE has 3972 (100.0%) missing values Missing
w1_A10UC has 3972 (100.0%) missing values Missing
w1_A10IPICYT has 3972 (100.0%) missing values Missing
w1_A11NUM has 1220 (30.7%) missing values Missing
w1_A11 has 3972 (100.0%) missing values Missing
w1_B01_1 has 1648 (41.5%) missing values Missing
w1_B01_2 has 1645 (41.4%) missing values Missing
w1_B01_3 has 1642 (41.3%) missing values Missing
w1_B01_4 has 1649 (41.5%) missing values Missing
w1_B01_5 has 1656 (41.7%) missing values Missing
w1_B01_6 has 1656 (41.7%) missing values Missing
w1_B01_7 has 1659 (41.8%) missing values Missing
w1_B01_8 has 1653 (41.6%) missing values Missing
w1_B01_9 has 1654 (41.6%) missing values Missing
w1_B01_10 has 1657 (41.7%) missing values Missing
w1_B01_11 has 1654 (41.6%) missing values Missing
w1_B01_12 has 1657 (41.7%) missing values Missing
w1_B01_13 has 1656 (41.7%) missing values Missing
w1_B01_14 has 1661 (41.8%) missing values Missing
w1_B01_15 has 1655 (41.7%) missing values Missing
w1_B01_16 has 1663 (41.9%) missing values Missing
w1_B01_17 has 1655 (41.7%) missing values Missing
w1_B01_18 has 1656 (41.7%) missing values Missing
w1_B01_19 has 1652 (41.6%) missing values Missing
w1_B01_20 has 1659 (41.8%) missing values Missing
w1_B02_1 has 1687 (42.5%) missing values Missing
w1_B02_2 has 1688 (42.5%) missing values Missing
w1_B02_3 has 1706 (43.0%) missing values Missing
w1_B02_4 has 1685 (42.4%) missing values Missing
w1_B02_5 has 1690 (42.5%) missing values Missing
w1_B02_6 has 1692 (42.6%) missing values Missing
w1_B02_7 has 1690 (42.5%) missing values Missing
w1_B02_8 has 3972 (100.0%) missing values Missing
w1_B02_9 has 1689 (42.5%) missing values Missing
w1_B02_10 has 1693 (42.6%) missing values Missing
w1_B02_11 has 1690 (42.5%) missing values Missing
w1_B02_12 has 1694 (42.6%) missing values Missing
w1_B02_13 has 1696 (42.7%) missing values Missing
w1_B02_14 has 1699 (42.8%) missing values Missing
w1_B02_15 has 1692 (42.6%) missing values Missing
w1_B02_16 has 1701 (42.8%) missing values Missing
w1_B02_17 has 1698 (42.7%) missing values Missing
w1_B02_18 has 1700 (42.8%) missing values Missing
w1_B02JLU_1 has 3972 (100.0%) missing values Missing
w1_B02JLU_2 has 3972 (100.0%) missing values Missing
w1_B02JLU_3 has 3972 (100.0%) missing values Missing
w1_B02JLU_4 has 3972 (100.0%) missing values Missing
w1_B02JLU_5 has 3972 (100.0%) missing values Missing
w1_B02JLU_6 has 3972 (100.0%) missing values Missing
w1_B02JLU_7 has 3972 (100.0%) missing values Missing
w1_B02JLU_8 has 3972 (100.0%) missing values Missing
w1_B02JLU_9 has 3972 (100.0%) missing values Missing
w1_B02JLU_10 has 3972 (100.0%) missing values Missing
w1_B02JLU_11 has 3972 (100.0%) missing values Missing
w1_B02JLU_12 has 3972 (100.0%) missing values Missing
w1_B02JLU_13 has 3972 (100.0%) missing values Missing
w1_B02JLU_14 has 3972 (100.0%) missing values Missing
w1_B02JLU_15 has 3972 (100.0%) missing values Missing
w1_B02JLU_16 has 3972 (100.0%) missing values Missing
w1_B02JLU_17 has 3972 (100.0%) missing values Missing
w1_B02JLU_18 has 3972 (100.0%) missing values Missing
w1_C01_1 has 2761 (69.5%) missing values Missing
w1_C01_2 has 2745 (69.1%) missing values Missing
w1_C01_3 has 2822 (71.0%) missing values Missing
w1_C01_4 has 1841 (46.3%) missing values Missing
w1_C02_1 has 1805 (45.4%) missing values Missing
w1_C02_2 has 1793 (45.1%) missing values Missing
w1_C02_3 has 1795 (45.2%) missing values Missing
w1_C02_4 has 1797 (45.2%) missing values Missing
w1_C02_5 has 1798 (45.3%) missing values Missing
w1_C02_6 has 1801 (45.3%) missing values Missing
w1_C02_7 has 1798 (45.3%) missing values Missing
w1_C02_8 has 1801 (45.3%) missing values Missing
w1_C02_9 has 1801 (45.3%) missing values Missing
w1_C02_10 has 1794 (45.2%) missing values Missing
w1_C02_11 has 1795 (45.2%) missing values Missing
w1_C02_12 has 3972 (100.0%) missing values Missing
w1_D01 has 1980 (49.8%) missing values Missing
w1_D02 has 1754 (44.2%) missing values Missing
w1_D03 has 2892 (72.8%) missing values Missing
w1_D04 has 2891 (72.8%) missing values Missing
w1_D05 has 2864 (72.1%) missing values Missing
w1_E01_1 has 1879 (47.3%) missing values Missing
w1_E01_2 has 1836 (46.2%) missing values Missing
w1_E01_3 has 1895 (47.7%) missing values Missing
w1_E01_4 has 1838 (46.3%) missing values Missing
w1_E01_5 has 1847 (46.5%) missing values Missing
w1_E01_6 has 1891 (47.6%) missing values Missing
w1_E01_7 has 1891 (47.6%) missing values Missing
w1_E01_8 has 1900 (47.8%) missing values Missing
w1_E01_9 has 1939 (48.8%) missing values Missing
w1_E01_10 has 1849 (46.6%) missing values Missing
w1_E01_11 has 1894 (47.7%) missing values Missing
w1_E01_12 has 1890 (47.6%) missing values Missing
w1_E01_13 has 1897 (47.8%) missing values Missing
w1_E01_14 has 1897 (47.8%) missing values Missing
w1_E01_15 has 1895 (47.7%) missing values Missing
w1_E01_16 has 1898 (47.8%) missing values Missing
w1_E01_17 has 1889 (47.6%) missing values Missing
w1_E01_18 has 1890 (47.6%) missing values Missing
w1_E01_19 has 1884 (47.4%) missing values Missing
w1_E01JLU_1 has 3972 (100.0%) missing values Missing
w1_E01JLU_2 has 3972 (100.0%) missing values Missing
w1_E01JLU_3 has 3972 (100.0%) missing values Missing
w1_E01JLU_4 has 3972 (100.0%) missing values Missing
w1_E01JLU_5 has 3972 (100.0%) missing values Missing
w1_E01JLU_6 has 3972 (100.0%) missing values Missing
w1_E01JLU_7 has 3972 (100.0%) missing values Missing
w1_E01JLU_8 has 3972 (100.0%) missing values Missing
w1_E01JLU_9 has 3972 (100.0%) missing values Missing
w1_E01JLU_10 has 3972 (100.0%) missing values Missing
w1_E01JLU_11 has 3972 (100.0%) missing values Missing
w1_E01JLU_12 has 3972 (100.0%) missing values Missing
w1_E01JLU_13 has 3972 (100.0%) missing values Missing
w1_E01JLU_14 has 3972 (100.0%) missing values Missing
w1_E01JLU_15 has 3972 (100.0%) missing values Missing
w1_E01JLU_16 has 3972 (100.0%) missing values Missing
w1_E01JLU_17 has 3972 (100.0%) missing values Missing
w1_E01JLU_18 has 3972 (100.0%) missing values Missing
w1_E01JLU_19 has 3972 (100.0%) missing values Missing
w1_E01JLU_20 has 3972 (100.0%) missing values Missing
w1_E01JLU_21 has 3972 (100.0%) missing values Missing
w1_E01JLU_22 has 3972 (100.0%) missing values Missing
w1_E01JLU_23 has 3972 (100.0%) missing values Missing
w1_E01JLU_24 has 3972 (100.0%) missing values Missing
w1_E02_1 has 1851 (46.6%) missing values Missing
w1_E02_2 has 1851 (46.6%) missing values Missing
w1_E02_3 has 1867 (47.0%) missing values Missing
w1_E02_4 has 1867 (47.0%) missing values Missing
w1_E02_5 has 1860 (46.8%) missing values Missing
w1_E02_6 has 1863 (46.9%) missing values Missing
w1_E02_7 has 1863 (46.9%) missing values Missing
w1_E02_8 has 1868 (47.0%) missing values Missing
w1_E02_9 has 1871 (47.1%) missing values Missing
w1_E02_10 has 1867 (47.0%) missing values Missing
w1_E02_11 has 1870 (47.1%) missing values Missing
w1_E02_12 has 1872 (47.1%) missing values Missing
w1_E02_13 has 1870 (47.1%) missing values Missing
w1_E02_14 has 1864 (46.9%) missing values Missing
w1_E02_15 has 1865 (47.0%) missing values Missing
w1_E02_16 has 1865 (47.0%) missing values Missing
w1_E02_17 has 1868 (47.0%) missing values Missing
w1_E02_18 has 1868 (47.0%) missing values Missing
w1_E02_19 has 1872 (47.1%) missing values Missing
w1_E02_20 has 1868 (47.0%) missing values Missing
w1_E02_21 has 1861 (46.9%) missing values Missing
w1_E03 has 1806 (45.5%) missing values Missing
w1_E04 has 2843 (71.6%) missing values Missing
w1_E05 has 2942 (74.1%) missing values Missing
w1_E06 has 3882 (97.7%) missing values Missing
w1_E07 has 3893 (98.0%) missing values Missing
w1_E08 has 3878 (97.6%) missing values Missing
w1_E09_1 has 3887 (97.9%) missing values Missing
w1_E09_2 has 3887 (97.9%) missing values Missing
w1_E09_3 has 3888 (97.9%) missing values Missing
w1_E09_4 has 3888 (97.9%) missing values Missing
w1_E09_5 has 3887 (97.9%) missing values Missing
w1_E09_6 has 3887 (97.9%) missing values Missing
w1_E09_7 has 3887 (97.9%) missing values Missing
w1_F01 has 1820 (45.8%) missing values Missing
w1_F02 has 3232 (81.4%) missing values Missing
w1_F03_other has 3880 (97.7%) missing values Missing
w1_F04_other has 3917 (98.6%) missing values Missing
w1_G01_1 has 1924 (48.4%) missing values Missing
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w1_G01_4 has 1922 (48.4%) missing values Missing
w1_G01_5 has 1920 (48.3%) missing values Missing
w1_G01_6 has 1930 (48.6%) missing values Missing
w1_G01_7 has 1939 (48.8%) missing values Missing
w1_G01_8 has 1925 (48.5%) missing values Missing
w1_G01_9 has 1992 (50.2%) missing values Missing
w1_G02_1 has 1929 (48.6%) missing values Missing
w1_G02_2 has 1930 (48.6%) missing values Missing
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w1_G02_6 has 1939 (48.8%) missing values Missing
w1_G02_7 has 1950 (49.1%) missing values Missing
w1_G02_8 has 1939 (48.8%) missing values Missing
w1_G02_9 has 1946 (49.0%) missing values Missing
w1_G02_10 has 1956 (49.2%) missing values Missing
w1_G02_11 has 1954 (49.2%) missing values Missing
w1_G02_12 has 1943 (48.9%) missing values Missing
w1_G02_13 has 1947 (49.0%) missing values Missing
w1_G02_14 has 1949 (49.1%) missing values Missing
w1_G02_15 has 1938 (48.8%) missing values Missing
w1_G02_16 has 1930 (48.6%) missing values Missing
w1_G03_1 has 2008 (50.6%) missing values Missing
w1_G03_2 has 2012 (50.7%) missing values Missing
w1_G03_3 has 2024 (51.0%) missing values Missing
w1_G03_4 has 2022 (50.9%) missing values Missing
w1_G03_5 has 2026 (51.0%) missing values Missing
w1_G03_6 has 2052 (51.7%) missing values Missing
w1_G03_7 has 2025 (51.0%) missing values Missing
w1_G03_8 has 2029 (51.1%) missing values Missing
w1_G03_9 has 2032 (51.2%) missing values Missing
w1_G03_10 has 2032 (51.2%) missing values Missing
w1_G04_1 has 1992 (50.2%) missing values Missing
w1_G04_2 has 1998 (50.3%) missing values Missing
w1_G04_3 has 2000 (50.4%) missing values Missing
w1_G04_4 has 2026 (51.0%) missing values Missing
w1_G04_5 has 2004 (50.5%) missing values Missing
w1_G04_6 has 2007 (50.5%) missing values Missing
w1_G04_7 has 2003 (50.4%) missing values Missing
w1_G04_8 has 2009 (50.6%) missing values Missing
w1_G04_9 has 2008 (50.6%) missing values Missing
w1_G04_10 has 1999 (50.3%) missing values Missing
w1_G05_1 has 2019 (50.8%) missing values Missing
w1_G05_2 has 2033 (51.2%) missing values Missing
w1_G06 has 2049 (51.6%) missing values Missing
w1_G07_1 has 1986 (50.0%) missing values Missing
w1_G07_2 has 1985 (50.0%) missing values Missing
w1_G09 has 2350 (59.2%) missing values Missing
w1_G10_1 has 2075 (52.2%) missing values Missing
w1_G10_2 has 2075 (52.2%) missing values Missing
w1_G10_3 has 2090 (52.6%) missing values Missing
w1_G10_4 has 2079 (52.3%) missing values Missing
w1_G11_1 has 2059 (51.8%) missing values Missing
w1_G11_2 has 2060 (51.9%) missing values Missing
w1_H01f has 2025 (51.0%) missing values Missing
w1_H01f_other has 3961 (99.7%) missing values Missing
w1_H01m has 2031 (51.1%) missing values Missing
w1_H01m_other has 3966 (99.8%) missing values Missing
w1_H01fLSE has 3972 (100.0%) missing values Missing
w1_H01mLSE has 3972 (100.0%) missing values Missing
w1_H02f has 2011 (50.6%) missing values Missing
w1_H03af has 3232 (81.4%) missing values Missing
w1_H03af_other has 3920 (98.7%) missing values Missing
w1_H03bf has 3240 (81.6%) missing values Missing
w1_H03bf_other has 3901 (98.2%) missing values Missing
w1_H02m has 2013 (50.7%) missing values Missing
w1_H03am has 3021 (76.1%) missing values Missing
w1_H03am_other has 3906 (98.3%) missing values Missing
w1_H03bm has 3387 (85.3%) missing values Missing
w1_H03bm_other has 3908 (98.4%) missing values Missing
w1_I00 has 2073 (52.2%) missing values Missing
w1_I01 has 2622 (66.0%) missing values Missing
w1_I03 has 3262 (82.1%) missing values Missing
w1_I04 has 3259 (82.0%) missing values Missing
w1_BFI15_1 has 3972 (100.0%) missing values Missing
w1_BFI15_2 has 3972 (100.0%) missing values Missing
w1_BFI15_3 has 3972 (100.0%) missing values Missing
w1_BFI15_4 has 3972 (100.0%) missing values Missing
w1_BFI15_5 has 3972 (100.0%) missing values Missing
w1_BFI15_6 has 3972 (100.0%) missing values Missing
w1_BFI15_7 has 3972 (100.0%) missing values Missing
w1_BFI15_8 has 3972 (100.0%) missing values Missing
w1_BFI15_9 has 3972 (100.0%) missing values Missing
w1_BFI15_10 has 3972 (100.0%) missing values Missing
w1_BFI15_11 has 3972 (100.0%) missing values Missing
w1_BFI15_12 has 3972 (100.0%) missing values Missing
w1_BFI15_13 has 3972 (100.0%) missing values Missing
w1_BFI15_14 has 3972 (100.0%) missing values Missing
w1_BFI15_15 has 3972 (100.0%) missing values Missing
w1_GT_BF15 has 3972 (100.0%) missing values Missing
w1_N01 has 1416 (35.6%) missing values Missing
w1_N01_other has 3933 (99.0%) missing values Missing
w1_N02 has 1371 (34.5%) missing values Missing
w1_N03 has 2511 (63.2%) missing values Missing
w1_N04 has 1381 (34.8%) missing values Missing
w1_N05_1 has 3728 (93.9%) missing values Missing
w1_N05_2 has 3832 (96.5%) missing values Missing
w1_N05_3 has 3947 (99.4%) missing values Missing
w1_N05_4 has 3952 (99.5%) missing values Missing
w1_N05_5 has 3785 (95.3%) missing values Missing
w1_N05_6 has 2704 (68.1%) missing values Missing
w1_N05_7 has 3776 (95.1%) missing values Missing
w1_N05_8 has 3972 (100.0%) missing values Missing
w1_N06 has 2299 (57.9%) missing values Missing
w1_N06_other has 3833 (96.5%) missing values Missing
w1_GT_A0 has 811 (20.4%) missing values Missing
w1_GT_A1 has 1189 (29.9%) missing values Missing
w1_GT_B has 1617 (40.7%) missing values Missing
w1_GT_C has 1670 (42.0%) missing values Missing
w1_GT_D has 1744 (43.9%) missing values Missing
w1_GT_E has 1798 (45.3%) missing values Missing
w1_GT_F has 1818 (45.8%) missing values Missing
w1_GT_G1 has 1858 (46.8%) missing values Missing
w1_GT_G2 has 1878 (47.3%) missing values Missing
w1_GT_G3 has 1931 (48.6%) missing values Missing
w1_GT_H1 has 1994 (50.2%) missing values Missing
w1_GT_H2 has 2010 (50.6%) missing values Missing
w1_GT_I1 has 2071 (52.1%) missing values Missing
w1_GT_I2 has 2771 (69.8%) missing values Missing
w1_GT_N has 1366 (34.4%) missing values Missing
w1_D01 is highly skewed (γ1 = -44.63182721) Skewed
w1_F02 is highly skewed (γ1 = 21.53006994) Skewed
w1_GT_A0 is highly skewed (γ1 = 36.89575513) Skewed
w1_GT_A1 is highly skewed (γ1 = 33.08359889) Skewed
w1_GT_D is highly skewed (γ1 = 31.34357757) Skewed
w1_GT_E is highly skewed (γ1 = 34.18844544) Skewed
w1_GT_F is highly skewed (γ1 = 26.06833656) Skewed
w1_GT_G1 is highly skewed (γ1 = 27.92367668) Skewed
w1_GT_H2 is highly skewed (γ1 = 27.13197411) Skewed
w1_GT_I2 is highly skewed (γ1 = 33.30890732) Skewed
w1_GT_N is highly skewed (γ1 = 24.71218348) Skewed
token has unique values Unique
w1_A03JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C02_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_19 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_20 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_21 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_22 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_23 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_24 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01fLSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01mLSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_BF15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C01_1 has 916 (23.1%) zeros Zeros
w1_C01_2 has 716 (18.0%) zeros Zeros
w1_C01_3 has 823 (20.7%) zeros Zeros
w1_C01_4 has 46 (1.2%) zeros Zeros
w1_D01 has 116 (2.9%) zeros Zeros
w1_F02 has 53 (1.3%) zeros Zeros
w1_interviewtime has 811 (20.4%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:44:36.970553
Analysis finished2025-02-26 16:44:37.663406
Duration0.69 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct3972
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size89.3 KiB
2025-02-26T17:44:37.815608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters59580
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3972 ?
Unique (%)100.0%

Sample

1st row00hBYDFIbbiHk7E
2nd row019uq0ih2jv0Zqo
3rd row02JJBzfMKZKNzcI
4th row036kzp5GBFDHvSJ
5th row03F3kOf7STN6Ljk
ValueCountFrequency (%)
00hbydfibbihk7e 1
 
< 0.1%
019uq0ih2jv0zqo 1
 
< 0.1%
02jjbzfmkzknzci 1
 
< 0.1%
036kzp5gbfdhvsj 1
 
< 0.1%
03f3kof7stn6ljk 1
 
< 0.1%
048kut2vco7oqsk 1
 
< 0.1%
04h7tuatltmhnjk 1
 
< 0.1%
04rdes5vtw9ynwk 1
 
< 0.1%
04zqp4aabwzi7x2 1
 
< 0.1%
06vyntjfxrvvgad 1
 
< 0.1%
Other values (3962) 3962
99.7%
2025-02-26T17:44:38.022171image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 1863
 
3.1%
a 1848
 
3.1%
e 992
 
1.7%
k 980
 
1.6%
5 975
 
1.6%
7 974
 
1.6%
t 973
 
1.6%
A 972
 
1.6%
O 967
 
1.6%
M 966
 
1.6%
Other values (52) 48070
80.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 59580
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
z 1863
 
3.1%
a 1848
 
3.1%
e 992
 
1.7%
k 980
 
1.6%
5 975
 
1.6%
7 974
 
1.6%
t 973
 
1.6%
A 972
 
1.6%
O 967
 
1.6%
M 966
 
1.6%
Other values (52) 48070
80.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 59580
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
z 1863
 
3.1%
a 1848
 
3.1%
e 992
 
1.7%
k 980
 
1.6%
5 975
 
1.6%
7 974
 
1.6%
t 973
 
1.6%
A 972
 
1.6%
O 967
 
1.6%
M 966
 
1.6%
Other values (52) 48070
80.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 59580
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
z 1863
 
3.1%
a 1848
 
3.1%
e 992
 
1.7%
k 980
 
1.6%
5 975
 
1.6%
7 974
 
1.6%
t 973
 
1.6%
A 972
 
1.6%
O 967
 
1.6%
M 966
 
1.6%
Other values (52) 48070
80.7%

w1_experimentid
Text

Constant 

experiment id

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size81.6 KiB
2025-02-26T17:44:38.100470image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters51636
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetMongolia
2nd rowwenetMongolia
3rd rowwenetMongolia
4th rowwenetMongolia
5th rowwenetMongolia
ValueCountFrequency (%)
wenetmongolia 3972
100.0%
2025-02-26T17:44:38.207628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 7944
15.4%
n 7944
15.4%
o 7944
15.4%
w 3972
7.7%
t 3972
7.7%
M 3972
7.7%
g 3972
7.7%
l 3972
7.7%
i 3972
7.7%
a 3972
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 51636
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 7944
15.4%
n 7944
15.4%
o 7944
15.4%
w 3972
7.7%
t 3972
7.7%
M 3972
7.7%
g 3972
7.7%
l 3972
7.7%
i 3972
7.7%
a 3972
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 51636
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 7944
15.4%
n 7944
15.4%
o 7944
15.4%
w 3972
7.7%
t 3972
7.7%
M 3972
7.7%
g 3972
7.7%
l 3972
7.7%
i 3972
7.7%
a 3972
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 51636
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 7944
15.4%
n 7944
15.4%
o 7944
15.4%
w 3972
7.7%
t 3972
7.7%
M 3972
7.7%
g 3972
7.7%
l 3972
7.7%
i 3972
7.7%
a 3972
7.7%

w1_fillinquest
Real number (ℝ)

fillinquest

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.147280967
Minimum-1
Maximum5
Zeros0
Zeros (%)0.0%
Negative811
Negative (%)20.4%
Memory size35.0 KiB
2025-02-26T17:44:38.244694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q13
median4
Q35
95-th percentile5
Maximum5
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.266040261
Coefficient of variation (CV)0.7199993532
Kurtosis-0.4996684342
Mean3.147280967
Median Absolute Deviation (MAD)1
Skewness-0.997792229
Sum12501
Variance5.134938462
MonotonicityNot monotonic
2025-02-26T17:44:38.335101image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 1836
46.2%
3 1168
29.4%
-1 811
20.4%
4 157
 
4.0%
ValueCountFrequency (%)
-1 811
20.4%
3 1168
29.4%
4 157
 
4.0%
5 1836
46.2%
ValueCountFrequency (%)
5 1836
46.2%
4 157
 
4.0%
3 1168
29.4%
-1 811
20.4%

w1_lastpage
Real number (ℝ)

Missing 

last page

Distinct15
Distinct (%)0.5%
Missing811
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean10.78867447
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:38.371506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median15
Q315
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.65262442
Coefficient of variation (CV)0.5239405856
Kurtosis-1.221153055
Mean10.78867447
Median Absolute Deviation (MAD)0
Skewness-0.7736526577
Sum34103
Variance31.95216283
MonotonicityNot monotonic
2025-02-26T17:44:38.412190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
15 1836
46.2%
1 315
 
7.9%
3 243
 
6.1%
2 168
 
4.2%
4 140
 
3.5%
13 99
 
2.5%
9 71
 
1.8%
10 68
 
1.7%
14 58
 
1.5%
6 53
 
1.3%
Other values (5) 110
 
2.8%
(Missing) 811
20.4%
ValueCountFrequency (%)
1 315
7.9%
2 168
4.2%
3 243
6.1%
4 140
3.5%
5 27
 
0.7%
ValueCountFrequency (%)
15 1836
46.2%
14 58
 
1.5%
13 99
 
2.5%
12 21
 
0.5%
11 8
 
0.2%

w1_submitdate
Date

Missing 

date of submission

Distinct1836
Distinct (%)100.0%
Missing2136
Missing (%)53.8%
Memory size31.2 KiB
Minimum2020-09-28 03:07:34
Maximum2020-11-08 18:11:24
2025-02-26T17:44:38.460122image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:44:38.516220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_startlanguage
Text

start language

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.9 KiB
2025-02-26T17:44:38.552863image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.005035247
Min length2

Characters and Unicode

Total characters7964
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmn
2nd rowmn
3rd rowmn
4th rowmn
5th rowmn
ValueCountFrequency (%)
mn 3962
99.7%
en 6
 
0.2%
zh-hans 4
 
0.1%
2025-02-26T17:44:38.624850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 3972
49.9%
m 3962
49.7%
e 6
 
0.1%
z 4
 
0.1%
h 4
 
0.1%
- 4
 
0.1%
H 4
 
0.1%
a 4
 
0.1%
s 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7964
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 3972
49.9%
m 3962
49.7%
e 6
 
0.1%
z 4
 
0.1%
h 4
 
0.1%
- 4
 
0.1%
H 4
 
0.1%
a 4
 
0.1%
s 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7964
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 3972
49.9%
m 3962
49.7%
e 6
 
0.1%
z 4
 
0.1%
h 4
 
0.1%
- 4
 
0.1%
H 4
 
0.1%
a 4
 
0.1%
s 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7964
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 3972
49.9%
m 3962
49.7%
e 6
 
0.1%
z 4
 
0.1%
h 4
 
0.1%
- 4
 
0.1%
H 4
 
0.1%
a 4
 
0.1%
s 4
 
0.1%

w1_startdate
Date

Start date

Distinct3967
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
Minimum2020-09-28 02:04:50
Maximum2020-11-09 15:23:35
2025-02-26T17:44:38.674087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:44:38.729091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_datestamp
Date

datestamp

Distinct3965
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
Minimum2020-09-28 02:34:22
Maximum2020-11-09 15:23:35
2025-02-26T17:44:38.783862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:44:38.839238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_refurl
Text

Missing 

reference url

Distinct4
Distinct (%)0.1%
Missing806
Missing (%)20.3%
Memory size44.2 KiB
2025-02-26T17:44:38.893315image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.045799116
Min length4

Characters and Unicode

Total characters12809
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowmail
2nd rowmail
3rd rowmail
4th rowmail
5th rowmail
ValueCountFrequency (%)
mail 3146
99.4%
android-gmail 10
 
0.3%
limesurvey 9
 
0.3%
other 1
 
< 0.1%
2025-02-26T17:44:38.984431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 3175
24.8%
a 3166
24.7%
m 3165
24.7%
l 3165
24.7%
d 20
 
0.2%
r 20
 
0.2%
e 19
 
0.1%
o 11
 
0.1%
n 10
 
0.1%
- 10
 
0.1%
Other values (7) 48
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12809
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 3175
24.8%
a 3166
24.7%
m 3165
24.7%
l 3165
24.7%
d 20
 
0.2%
r 20
 
0.2%
e 19
 
0.1%
o 11
 
0.1%
n 10
 
0.1%
- 10
 
0.1%
Other values (7) 48
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12809
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 3175
24.8%
a 3166
24.7%
m 3165
24.7%
l 3165
24.7%
d 20
 
0.2%
r 20
 
0.2%
e 19
 
0.1%
o 11
 
0.1%
n 10
 
0.1%
- 10
 
0.1%
Other values (7) 48
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12809
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 3175
24.8%
a 3166
24.7%
m 3165
24.7%
l 3165
24.7%
d 20
 
0.2%
r 20
 
0.2%
e 19
 
0.1%
o 11
 
0.1%
n 10
 
0.1%
- 10
 
0.1%
Other values (7) 48
 
0.4%

w1_A00_1
Real number (ℝ)

Missing 

Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?

Distinct2
Distinct (%)0.1%
Missing811
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean1.02720658
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.026078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1627106562
Coefficient of variation (CV)0.1584011038
Kurtosis31.83601417
Mean1.02720658
Median Absolute Deviation (MAD)0
Skewness5.815141578
Sum3247
Variance0.02647475763
MonotonicityNot monotonic
2025-02-26T17:44:39.063868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 3075
77.4%
2 86
 
2.2%
(Missing) 811
 
20.4%
ValueCountFrequency (%)
1 3075
77.4%
2 86
 
2.2%
ValueCountFrequency (%)
2 86
 
2.2%
1 3075
77.4%

w1_A00_2
Real number (ℝ)

Missing 

Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?

Distinct2
Distinct (%)0.1%
Missing811
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean1.173995571
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.100784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3791656546
Coefficient of variation (CV)0.3229702598
Kurtosis0.9613374711
Mean1.173995571
Median Absolute Deviation (MAD)0
Skewness1.720677083
Sum3711
Variance0.1437665937
MonotonicityNot monotonic
2025-02-26T17:44:39.138772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2611
65.7%
2 550
 
13.8%
(Missing) 811
 
20.4%
ValueCountFrequency (%)
1 2611
65.7%
2 550
 
13.8%
ValueCountFrequency (%)
2 550
 
13.8%
1 2611
65.7%

w1_A01
Real number (ℝ)

Missing 

Which gender were you born? 1. Male, 2. Female?

Distinct2
Distinct (%)0.1%
Missing1213
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean1.677781805
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.175141image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4674107565
Coefficient of variation (CV)0.2785885239
Kurtosis-1.421512784
Mean1.677781805
Median Absolute Deviation (MAD)0
Skewness-0.7612609256
Sum4629
Variance0.2184728153
MonotonicityNot monotonic
2025-02-26T17:44:39.214187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1870
47.1%
1 889
22.4%
(Missing) 1213
30.5%
ValueCountFrequency (%)
1 889
22.4%
2 1870
47.1%
ValueCountFrequency (%)
2 1870
47.1%
1 889
22.4%

w1_A02
Real number (ℝ)

Missing 

When were you born? Year:

Distinct31
Distinct (%)1.1%
Missing1211
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean1999.930822
Minimum1971
Maximum2004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.255982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1971
5-th percentile1996
Q11999
median2001
Q32002
95-th percentile2002
Maximum2004
Range33
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.145492924
Coefficient of variation (CV)0.001572800864
Kurtosis24.22688427
Mean1999.930822
Median Absolute Deviation (MAD)1
Skewness-4.275226874
Sum5521809
Variance9.894125737
MonotonicityNot monotonic
2025-02-26T17:44:39.304696image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2001 728
18.3%
2002 668
16.8%
2000 579
14.6%
1999 363
 
9.1%
1998 161
 
4.1%
2003 52
 
1.3%
1997 51
 
1.3%
1996 29
 
0.7%
1994 18
 
0.5%
1995 17
 
0.4%
Other values (21) 95
 
2.4%
(Missing) 1211
30.5%
ValueCountFrequency (%)
1971 1
 
< 0.1%
1973 1
 
< 0.1%
1974 1
 
< 0.1%
1976 4
0.1%
1977 3
0.1%
ValueCountFrequency (%)
2004 3
 
0.1%
2003 52
 
1.3%
2002 668
16.8%
2001 728
18.3%
2000 579
14.6%

w1_A03
Real number (ℝ)

Missing 

What is your nationality? [List, see Appendix]

Distinct9
Distinct (%)0.3%
Missing897
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean138.7502439
Minimum46
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.348226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile139
Q1139
median139
Q3139
95-th percentile139
Maximum150
Range104
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.653937801
Coefficient of variation (CV)0.0335418351
Kurtosis366.7180351
Mean138.7502439
Median Absolute Deviation (MAD)0
Skewness-18.92556276
Sum426657
Variance21.65913706
MonotonicityNot monotonic
2025-02-26T17:44:39.386353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
139 3054
76.9%
46 7
 
0.2%
141 6
 
0.2%
109 2
 
0.1%
142 2
 
0.1%
140 1
 
< 0.1%
111 1
 
< 0.1%
80 1
 
< 0.1%
150 1
 
< 0.1%
(Missing) 897
 
22.6%
ValueCountFrequency (%)
46 7
 
0.2%
80 1
 
< 0.1%
109 2
 
0.1%
111 1
 
< 0.1%
139 3054
76.9%
ValueCountFrequency (%)
150 1
 
< 0.1%
142 2
 
0.1%
141 6
 
0.2%
140 1
 
< 0.1%
139 3054
76.9%

w1_A03JLU
Unsupported

Missing  Rejected  Unsupported 

What is your nationality? [List, see Appendix]

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A04AMRITA
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A04AMRITA_other
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A04AAU
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A04JLU
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A04LSE
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A04NUM
Real number (ℝ)

Missing 

Question: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities

Distinct7
Distinct (%)0.3%
Missing1216
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean4.075108853
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.420784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.901900136
Coefficient of variation (CV)0.4667114926
Kurtosis-0.886953683
Mean4.075108853
Median Absolute Deviation (MAD)1
Skewness-0.1894263882
Sum11231
Variance3.617224126
MonotonicityNot monotonic
2025-02-26T17:44:39.456679image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 835
21.0%
1 468
 
11.8%
5 402
 
10.1%
7 361
 
9.1%
6 323
 
8.1%
3 214
 
5.4%
2 153
 
3.9%
(Missing) 1216
30.6%
ValueCountFrequency (%)
1 468
11.8%
2 153
 
3.9%
3 214
 
5.4%
4 835
21.0%
5 402
10.1%
ValueCountFrequency (%)
7 361
9.1%
6 323
 
8.1%
5 402
10.1%
4 835
21.0%
3 214
 
5.4%

w1_A04UC
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A04UNITN
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A04IPICYT
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A05
Real number (ℝ)

Missing 

Type of degree: 1. BSc, 2. MSc, 3.PhD

Distinct2
Distinct (%)0.1%
Missing1203
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean1.037558685
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.495189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1901606948
Coefficient of variation (CV)0.1832770498
Kurtosis21.70536415
Mean1.037558685
Median Absolute Deviation (MAD)0
Skewness4.867205283
Sum2873
Variance0.03616108985
MonotonicityNot monotonic
2025-02-26T17:44:39.532677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2665
67.1%
2 104
 
2.6%
(Missing) 1203
30.3%
ValueCountFrequency (%)
1 2665
67.1%
2 104
 
2.6%
ValueCountFrequency (%)
2 104
 
2.6%
1 2665
67.1%

w1_A05UNITN
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3. 5 years

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A05AMRITA
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A06
Real number (ℝ)

Missing 

Programme: 1. Full Time, 2. Part Time

Distinct2
Distinct (%)0.1%
Missing1203
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean1.02383532
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.570000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.152563439
Coefficient of variation (CV)0.1490116976
Kurtosis37.0479928
Mean1.02383532
Median Absolute Deviation (MAD)0
Skewness6.246697864
Sum2835
Variance0.02327560293
MonotonicityNot monotonic
2025-02-26T17:44:39.607450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2703
68.1%
2 66
 
1.7%
(Missing) 1203
30.3%
ValueCountFrequency (%)
1 2703
68.1%
2 66
 
1.7%
ValueCountFrequency (%)
2 66
 
1.7%
1 2703
68.1%

w1_A07
Real number (ℝ)

Missing 

[Not for LSE if A05=2 AND A06=1] Course year

Distinct8
Distinct (%)0.3%
Missing1228
Missing (%)30.9%
Infinite0
Infinite (%)0.0%
Mean2.576530612
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.642968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.325859432
Coefficient of variation (CV)0.5145909876
Kurtosis-0.08225213695
Mean2.576530612
Median Absolute Deviation (MAD)1
Skewness0.529728977
Sum7070
Variance1.757903234
MonotonicityNot monotonic
2025-02-26T17:44:39.681745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 775
19.5%
3 719
18.1%
2 561
14.1%
4 493
12.4%
5 155
 
3.9%
6 23
 
0.6%
7 13
 
0.3%
8 5
 
0.1%
(Missing) 1228
30.9%
ValueCountFrequency (%)
1 775
19.5%
2 561
14.1%
3 719
18.1%
4 493
12.4%
5 155
 
3.9%
ValueCountFrequency (%)
8 5
 
0.1%
7 13
 
0.3%
6 23
 
0.6%
5 155
 
3.9%
4 493
12.4%

w1_A08
Real number (ℝ)

Missing 

You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year

Distinct2
Distinct (%)0.1%
Missing1242
Missing (%)31.3%
Infinite0
Infinite (%)0.0%
Mean1.100732601
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.720113image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3010294629
Coefficient of variation (CV)0.2734810096
Kurtosis5.0507317
Mean1.100732601
Median Absolute Deviation (MAD)0
Skewness2.654624656
Sum3005
Variance0.09061873756
MonotonicityNot monotonic
2025-02-26T17:44:39.758231image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2455
61.8%
2 275
 
6.9%
(Missing) 1242
31.3%
ValueCountFrequency (%)
1 2455
61.8%
2 275
 
6.9%
ValueCountFrequency (%)
2 275
 
6.9%
1 2455
61.8%

w1_A09
Real number (ℝ)

Missing 

[Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]

Distinct4
Distinct (%)0.1%
Missing1204
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean1.376083815
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.793043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6377750754
Coefficient of variation (CV)0.4634710971
Kurtosis1.306767802
Mean1.376083815
Median Absolute Deviation (MAD)0
Skewness1.525060741
Sum3809
Variance0.4067570468
MonotonicityNot monotonic
2025-02-26T17:44:39.828878image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1958
49.3%
2 586
 
14.8%
3 217
 
5.5%
4 7
 
0.2%
(Missing) 1204
30.3%
ValueCountFrequency (%)
1 1958
49.3%
2 586
 
14.8%
3 217
 
5.5%
4 7
 
0.2%
ValueCountFrequency (%)
4 7
 
0.2%
3 217
 
5.5%
2 586
 
14.8%
1 1958
49.3%

w1_A09UNITN
Unsupported

Missing  Rejected  Unsupported 

Where do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A09UC
Unsupported

Missing  Rejected  Unsupported 

Where do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A10UNITN
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A10AAU
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A10NUM
Real number (ℝ)

Missing 

And exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]

Distinct285
Distinct (%)15.8%
Missing2167
Missing (%)54.6%
Infinite0
Infinite (%)0.0%
Mean15780.05516
Minimum0
Maximum84141
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.875954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12794
Q113370
median14200
Q316093
95-th percentile18082
Maximum84141
Range84141
Interquartile range (IQR)2723

Descriptive statistics

Standard deviation7704.139102
Coefficient of variation (CV)0.4882200361
Kurtosis35.97483943
Mean15780.05516
Median Absolute Deviation (MAD)950
Skewness5.445617099
Sum28482999.57
Variance59353759.3
MonotonicityNot monotonic
2025-02-26T17:44:39.926217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14200.0 162
 
4.1%
14192.0 69
 
1.7%
11000.0 35
 
0.9%
16000.0 32
 
0.8%
13312.0 31
 
0.8%
17011.0 29
 
0.7%
13373.0 28
 
0.7%
13370.0 26
 
0.7%
13321.0 25
 
0.6%
13091.0 25
 
0.6%
Other values (275) 1343
33.8%
(Missing) 2167
54.6%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
1.0 2
0.1%
2.0 4
0.1%
5.0 2
0.1%
6.0 1
 
< 0.1%
ValueCountFrequency (%)
84141.0 1
< 0.1%
84000.0 2
0.1%
81190.0 1
< 0.1%
81130.0 1
< 0.1%
70013.0 1
< 0.1%

w1_A10LSE
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London

Missing3972
Missing (%)100.0%
Memory size31.6 KiB

w1_A10UC
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A10IPICYT
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_A11NUM
Real number (ℝ)

Missing 

What kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house

Distinct9
Distinct (%)0.3%
Missing1220
Missing (%)30.7%
Infinite0
Infinite (%)0.0%
Mean4.830668605
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:39.966428image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.682882751
Coefficient of variation (CV)0.3483747053
Kurtosis1.981888732
Mean4.830668605
Median Absolute Deviation (MAD)0
Skewness0.04542760562
Sum13294
Variance2.832094355
MonotonicityNot monotonic
2025-02-26T17:44:40.076062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 1734
43.7%
4 390
 
9.8%
1 236
 
5.9%
9 165
 
4.2%
6 83
 
2.1%
8 73
 
1.8%
3 49
 
1.2%
7 14
 
0.4%
2 8
 
0.2%
(Missing) 1220
30.7%
ValueCountFrequency (%)
1 236
 
5.9%
2 8
 
0.2%
3 49
 
1.2%
4 390
 
9.8%
5 1734
43.7%
ValueCountFrequency (%)
9 165
 
4.2%
8 73
 
1.8%
7 14
 
0.4%
6 83
 
2.1%
5 1734
43.7%

w1_A11
Unsupported

Missing  Rejected  Unsupported 

What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B01_1
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party

Distinct5
Distinct (%)0.2%
Missing1648
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean2.094664372
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:40.116622image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.054105362
Coefficient of variation (CV)0.5032335375
Kurtosis-0.4518539062
Mean2.094664372
Median Absolute Deviation (MAD)1
Skewness0.6514625466
Sum4868
Variance1.111138114
MonotonicityNot monotonic
2025-02-26T17:44:40.156151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 849
21.4%
2 709
17.8%
3 502
 
12.6%
4 225
 
5.7%
5 39
 
1.0%
(Missing) 1648
41.5%
ValueCountFrequency (%)
1 849
21.4%
2 709
17.8%
3 502
12.6%
4 225
 
5.7%
5 39
 
1.0%
ValueCountFrequency (%)
5 39
 
1.0%
4 225
 
5.7%
3 502
12.6%
2 709
17.8%
1 849
21.4%

w1_B01_2
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings

Distinct5
Distinct (%)0.2%
Missing1645
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean3.983240223
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:40.195852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7836315489
Coefficient of variation (CV)0.1967321841
Kurtosis1.500652156
Mean3.983240223
Median Absolute Deviation (MAD)0
Skewness-0.8773511621
Sum9269
Variance0.6140784044
MonotonicityNot monotonic
2025-02-26T17:44:40.236326image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1313
33.1%
5 549
 
13.8%
3 365
 
9.2%
2 77
 
1.9%
1 23
 
0.6%
(Missing) 1645
41.4%
ValueCountFrequency (%)
1 23
 
0.6%
2 77
 
1.9%
3 365
 
9.2%
4 1313
33.1%
5 549
13.8%
ValueCountFrequency (%)
5 549
13.8%
4 1313
33.1%
3 365
 
9.2%
2 77
 
1.9%
1 23
 
0.6%

w1_B01_3
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away

Distinct5
Distinct (%)0.2%
Missing1642
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean3.506437768
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:40.277320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8579693425
Coefficient of variation (CV)0.2446840353
Kurtosis0.0003555071801
Mean3.506437768
Median Absolute Deviation (MAD)1
Skewness-0.3792495287
Sum8170
Variance0.7361113926
MonotonicityNot monotonic
2025-02-26T17:44:40.317230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1029
25.9%
3 801
20.2%
2 239
 
6.0%
5 228
 
5.7%
1 33
 
0.8%
(Missing) 1642
41.3%
ValueCountFrequency (%)
1 33
 
0.8%
2 239
 
6.0%
3 801
20.2%
4 1029
25.9%
5 228
 
5.7%
ValueCountFrequency (%)
5 228
 
5.7%
4 1029
25.9%
3 801
20.2%
2 239
 
6.0%
1 33
 
0.8%

w1_B01_4
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings

Distinct5
Distinct (%)0.2%
Missing1649
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean3.142057684
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:40.357304image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.178167924
Coefficient of variation (CV)0.3749669938
Kurtosis-0.9111103813
Mean3.142057684
Median Absolute Deviation (MAD)1
Skewness-0.1076054733
Sum7299
Variance1.388079657
MonotonicityNot monotonic
2025-02-26T17:44:40.397778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 655
 
16.5%
3 610
 
15.4%
2 539
 
13.6%
5 313
 
7.9%
1 206
 
5.2%
(Missing) 1649
41.5%
ValueCountFrequency (%)
1 206
 
5.2%
2 539
13.6%
3 610
15.4%
4 655
16.5%
5 313
7.9%
ValueCountFrequency (%)
5 313
7.9%
4 655
16.5%
3 610
15.4%
2 539
13.6%
1 206
 
5.2%

w1_B01_5
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination

Distinct5
Distinct (%)0.2%
Missing1656
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean4.060017271
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:40.437773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8581102346
Coefficient of variation (CV)0.2113563015
Kurtosis0.6292586286
Mean4.060017271
Median Absolute Deviation (MAD)1
Skewness-0.8336708371
Sum9403
Variance0.7363531746
MonotonicityNot monotonic
2025-02-26T17:44:40.478880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1048
26.4%
5 771
19.4%
3 382
 
9.6%
2 95
 
2.4%
1 20
 
0.5%
(Missing) 1656
41.7%
ValueCountFrequency (%)
1 20
 
0.5%
2 95
 
2.4%
3 382
 
9.6%
4 1048
26.4%
5 771
19.4%
ValueCountFrequency (%)
5 771
19.4%
4 1048
26.4%
3 382
 
9.6%
2 95
 
2.4%
1 20
 
0.5%

w1_B01_6
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot

Distinct5
Distinct (%)0.2%
Missing1656
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean3.144214162
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:40.518468image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.196436839
Coefficient of variation (CV)0.3805201482
Kurtosis-0.8617685551
Mean3.144214162
Median Absolute Deviation (MAD)1
Skewness-0.1521321043
Sum7282
Variance1.43146111
MonotonicityNot monotonic
2025-02-26T17:44:40.559747image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 664
16.7%
4 624
 
15.7%
2 458
 
11.5%
5 327
 
8.2%
1 243
 
6.1%
(Missing) 1656
41.7%
ValueCountFrequency (%)
1 243
 
6.1%
2 458
11.5%
3 664
16.7%
4 624
15.7%
5 327
8.2%
ValueCountFrequency (%)
5 327
8.2%
4 624
15.7%
3 664
16.7%
2 458
11.5%
1 243
 
6.1%

w1_B01_7
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems

Distinct5
Distinct (%)0.2%
Missing1659
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.695633377
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:40.599715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.024721647
Coefficient of variation (CV)0.2772790325
Kurtosis-0.4413706793
Mean3.695633377
Median Absolute Deviation (MAD)1
Skewness-0.468309291
Sum8548
Variance1.050054454
MonotonicityNot monotonic
2025-02-26T17:44:40.639925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 846
21.3%
3 596
 
15.0%
5 561
 
14.1%
2 261
 
6.6%
1 49
 
1.2%
(Missing) 1659
41.8%
ValueCountFrequency (%)
1 49
 
1.2%
2 261
 
6.6%
3 596
15.0%
4 846
21.3%
5 561
14.1%
ValueCountFrequency (%)
5 561
14.1%
4 846
21.3%
3 596
15.0%
2 261
 
6.6%
1 49
 
1.2%

w1_B01_8
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place

Distinct5
Distinct (%)0.2%
Missing1653
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean2.401466149
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:40.679149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.131789266
Coefficient of variation (CV)0.4712909515
Kurtosis-0.5331080022
Mean2.401466149
Median Absolute Deviation (MAD)1
Skewness0.5345417014
Sum5569
Variance1.280946944
MonotonicityNot monotonic
2025-02-26T17:44:40.718944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 827
20.8%
1 552
 
13.9%
3 508
 
12.8%
4 321
 
8.1%
5 111
 
2.8%
(Missing) 1653
41.6%
ValueCountFrequency (%)
1 552
13.9%
2 827
20.8%
3 508
12.8%
4 321
 
8.1%
5 111
 
2.8%
ValueCountFrequency (%)
5 111
 
2.8%
4 321
 
8.1%
3 508
12.8%
2 827
20.8%
1 552
13.9%

w1_B01_9
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time

Distinct5
Distinct (%)0.2%
Missing1654
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean3.586712683
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:40.759192image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.98325882
Coefficient of variation (CV)0.2741392765
Kurtosis-0.2344173096
Mean3.586712683
Median Absolute Deviation (MAD)1
Skewness-0.4921180852
Sum8314
Variance0.9667979071
MonotonicityNot monotonic
2025-02-26T17:44:40.799276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 987
24.8%
3 606
 
15.3%
5 385
 
9.7%
2 283
 
7.1%
1 57
 
1.4%
(Missing) 1654
41.6%
ValueCountFrequency (%)
1 57
 
1.4%
2 283
 
7.1%
3 606
15.3%
4 987
24.8%
5 385
 
9.7%
ValueCountFrequency (%)
5 385
 
9.7%
4 987
24.8%
3 606
15.3%
2 283
 
7.1%
1 57
 
1.4%

w1_B01_10
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas

Distinct5
Distinct (%)0.2%
Missing1657
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean2.619006479
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:40.839521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.035657219
Coefficient of variation (CV)0.3954389678
Kurtosis-0.4085213668
Mean2.619006479
Median Absolute Deviation (MAD)1
Skewness0.2503127407
Sum6063
Variance1.072585875
MonotonicityNot monotonic
2025-02-26T17:44:40.878833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 823
20.7%
2 726
18.3%
1 341
 
8.6%
4 324
 
8.2%
5 101
 
2.5%
(Missing) 1657
41.7%
ValueCountFrequency (%)
1 341
8.6%
2 726
18.3%
3 823
20.7%
4 324
 
8.2%
5 101
 
2.5%
ValueCountFrequency (%)
5 101
 
2.5%
4 324
 
8.2%
3 823
20.7%
2 726
18.3%
1 341
8.6%

w1_B01_11
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties

Distinct5
Distinct (%)0.2%
Missing1654
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean2.612597066
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:40.917857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.162296509
Coefficient of variation (CV)0.4448816558
Kurtosis-0.8147364385
Mean2.612597066
Median Absolute Deviation (MAD)1
Skewness0.26592081
Sum6056
Variance1.350933175
MonotonicityNot monotonic
2025-02-26T17:44:40.960924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 682
17.2%
3 622
 
15.7%
1 456
 
11.5%
4 420
 
10.6%
5 138
 
3.5%
(Missing) 1654
41.6%
ValueCountFrequency (%)
1 456
11.5%
2 682
17.2%
3 622
15.7%
4 420
10.6%
5 138
 
3.5%
ValueCountFrequency (%)
5 138
 
3.5%
4 420
10.6%
3 622
15.7%
2 682
17.2%
1 456
11.5%

w1_B01_12
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions

Distinct5
Distinct (%)0.2%
Missing1657
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean3.942980562
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.001689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8363173571
Coefficient of variation (CV)0.2121028354
Kurtosis1.005316588
Mean3.942980562
Median Absolute Deviation (MAD)0
Skewness-0.8420050035
Sum9128
Variance0.6994267217
MonotonicityNot monotonic
2025-02-26T17:44:41.043088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1227
30.9%
5 559
 
14.1%
3 393
 
9.9%
2 110
 
2.8%
1 26
 
0.7%
(Missing) 1657
41.7%
ValueCountFrequency (%)
1 26
 
0.7%
2 110
 
2.8%
3 393
 
9.9%
4 1227
30.9%
5 559
14.1%
ValueCountFrequency (%)
5 559
14.1%
4 1227
30.9%
3 393
 
9.9%
2 110
 
2.8%
1 26
 
0.7%

w1_B01_13
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order

Distinct5
Distinct (%)0.2%
Missing1656
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean4.235319516
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.083091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8168714652
Coefficient of variation (CV)0.1928712727
Kurtosis1.260282454
Mean4.235319516
Median Absolute Deviation (MAD)1
Skewness-1.084818104
Sum9809
Variance0.6672789907
MonotonicityNot monotonic
2025-02-26T17:44:41.123877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 992
25.0%
4 979
24.6%
3 258
 
6.5%
2 72
 
1.8%
1 15
 
0.4%
(Missing) 1656
41.7%
ValueCountFrequency (%)
1 15
 
0.4%
2 72
 
1.8%
3 258
 
6.5%
4 979
24.6%
5 992
25.0%
ValueCountFrequency (%)
5 992
25.0%
4 979
24.6%
3 258
 
6.5%
2 72
 
1.8%
1 15
 
0.4%

w1_B01_14
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily

Distinct5
Distinct (%)0.2%
Missing1661
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.737775855
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.163411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.055411158
Coefficient of variation (CV)0.282363416
Kurtosis-0.2301086357
Mean3.737775855
Median Absolute Deviation (MAD)1
Skewness-0.6472328595
Sum8638
Variance1.113892713
MonotonicityNot monotonic
2025-02-26T17:44:41.202837image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 907
22.8%
5 597
 
15.0%
3 481
 
12.1%
2 256
 
6.4%
1 70
 
1.8%
(Missing) 1661
41.8%
ValueCountFrequency (%)
1 70
 
1.8%
2 256
 
6.4%
3 481
12.1%
4 907
22.8%
5 597
15.0%
ValueCountFrequency (%)
5 597
15.0%
4 907
22.8%
3 481
12.1%
2 256
 
6.4%
1 70
 
1.8%

w1_B01_15
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas

Distinct5
Distinct (%)0.2%
Missing1655
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean2.677600345
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.242520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0406603
Coefficient of variation (CV)0.3886540803
Kurtosis-0.5234672829
Mean2.677600345
Median Absolute Deviation (MAD)1
Skewness0.1903991021
Sum6204
Variance1.082973859
MonotonicityNot monotonic
2025-02-26T17:44:41.282632image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 798
20.1%
2 718
18.1%
4 391
 
9.8%
1 310
 
7.8%
5 100
 
2.5%
(Missing) 1655
41.7%
ValueCountFrequency (%)
1 310
 
7.8%
2 718
18.1%
3 798
20.1%
4 391
9.8%
5 100
 
2.5%
ValueCountFrequency (%)
5 100
 
2.5%
4 391
9.8%
3 798
20.1%
2 718
18.1%
1 310
 
7.8%

w1_B01_16
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background

Distinct5
Distinct (%)0.2%
Missing1663
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean3.202685145
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.322570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.162890856
Coefficient of variation (CV)0.3630987136
Kurtosis-0.7906659845
Mean3.202685145
Median Absolute Deviation (MAD)1
Skewness-0.207658594
Sum7395
Variance1.352315144
MonotonicityNot monotonic
2025-02-26T17:44:41.363832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 682
17.2%
3 659
 
16.6%
2 446
 
11.2%
5 319
 
8.0%
1 203
 
5.1%
(Missing) 1663
41.9%
ValueCountFrequency (%)
1 203
 
5.1%
2 446
11.2%
3 659
16.6%
4 682
17.2%
5 319
8.0%
ValueCountFrequency (%)
5 319
8.0%
4 682
17.2%
3 659
16.6%
2 446
11.2%
1 203
 
5.1%

w1_B01_17
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others

Distinct5
Distinct (%)0.2%
Missing1655
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean2.037980147
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.404201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9578008389
Coefficient of variation (CV)0.4699755493
Kurtosis-0.09900522489
Mean2.037980147
Median Absolute Deviation (MAD)1
Skewness0.6677947634
Sum4722
Variance0.9173824469
MonotonicityNot monotonic
2025-02-26T17:44:41.444504image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 825
20.8%
1 798
20.1%
3 532
 
13.4%
4 132
 
3.3%
5 30
 
0.8%
(Missing) 1655
41.7%
ValueCountFrequency (%)
1 798
20.1%
2 825
20.8%
3 532
13.4%
4 132
 
3.3%
5 30
 
0.8%
ValueCountFrequency (%)
5 30
 
0.8%
4 132
 
3.3%
3 532
13.4%
2 825
20.8%
1 798
20.1%

w1_B01_18
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things

Distinct5
Distinct (%)0.2%
Missing1656
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean1.751727116
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.483977image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8910990354
Coefficient of variation (CV)0.5086974035
Kurtosis0.8928067018
Mean1.751727116
Median Absolute Deviation (MAD)1
Skewness1.130119056
Sum4057
Variance0.7940574909
MonotonicityNot monotonic
2025-02-26T17:44:41.525012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1129
28.4%
2 761
19.2%
3 319
 
8.0%
4 86
 
2.2%
5 21
 
0.5%
(Missing) 1656
41.7%
ValueCountFrequency (%)
1 1129
28.4%
2 761
19.2%
3 319
 
8.0%
4 86
 
2.2%
5 21
 
0.5%
ValueCountFrequency (%)
5 21
 
0.5%
4 86
 
2.2%
3 319
 
8.0%
2 761
19.2%
1 1129
28.4%

w1_B01_19
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue

Distinct5
Distinct (%)0.2%
Missing1652
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean3.706034483
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.564458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.003984197
Coefficient of variation (CV)0.2709052497
Kurtosis0.03989723947
Mean3.706034483
Median Absolute Deviation (MAD)1
Skewness-0.6787844848
Sum8598
Variance1.007984268
MonotonicityNot monotonic
2025-02-26T17:44:41.605093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1021
25.7%
3 509
 
12.8%
5 492
 
12.4%
2 229
 
5.8%
1 69
 
1.7%
(Missing) 1652
41.6%
ValueCountFrequency (%)
1 69
 
1.7%
2 229
 
5.8%
3 509
12.8%
4 1021
25.7%
5 492
12.4%
ValueCountFrequency (%)
5 492
12.4%
4 1021
25.7%
3 509
12.8%
2 229
 
5.8%
1 69
 
1.7%

w1_B01_20
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination

Distinct5
Distinct (%)0.2%
Missing1659
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean1.948551665
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.644640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9546094801
Coefficient of variation (CV)0.4899071949
Kurtosis0.1609107998
Mean1.948551665
Median Absolute Deviation (MAD)1
Skewness0.8342850339
Sum4507
Variance0.9112792595
MonotonicityNot monotonic
2025-02-26T17:44:41.683880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 900
22.7%
2 819
20.6%
3 436
 
11.0%
4 129
 
3.2%
5 29
 
0.7%
(Missing) 1659
41.8%
ValueCountFrequency (%)
1 900
22.7%
2 819
20.6%
3 436
11.0%
4 129
 
3.2%
5 29
 
0.7%
ValueCountFrequency (%)
5 29
 
0.7%
4 129
 
3.2%
3 436
11.0%
2 819
20.6%
1 900
22.7%

w1_B02_1
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.

Distinct7
Distinct (%)0.3%
Missing1687
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean5.10940919
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.721688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.702044678
Coefficient of variation (CV)0.3331196651
Kurtosis-0.510733867
Mean5.10940919
Median Absolute Deviation (MAD)1
Skewness-0.597118292
Sum11675
Variance2.896956087
MonotonicityNot monotonic
2025-02-26T17:44:41.758814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 685
17.2%
5 465
 
11.7%
4 382
 
9.6%
6 349
 
8.8%
3 206
 
5.2%
2 117
 
2.9%
1 81
 
2.0%
(Missing) 1687
42.5%
ValueCountFrequency (%)
1 81
 
2.0%
2 117
 
2.9%
3 206
5.2%
4 382
9.6%
5 465
11.7%
ValueCountFrequency (%)
7 685
17.2%
6 349
8.8%
5 465
11.7%
4 382
9.6%
3 206
 
5.2%

w1_B02_2
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.

Distinct7
Distinct (%)0.3%
Missing1688
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean6.042469352
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.795439image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.234430939
Coefficient of variation (CV)0.2042924617
Kurtosis1.291097446
Mean6.042469352
Median Absolute Deviation (MAD)0
Skewness-1.3057175
Sum13801
Variance1.523819743
MonotonicityNot monotonic
2025-02-26T17:44:41.832024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 1168
29.4%
6 475
 
12.0%
5 350
 
8.8%
4 196
 
4.9%
3 60
 
1.5%
2 26
 
0.7%
1 9
 
0.2%
(Missing) 1688
42.5%
ValueCountFrequency (%)
1 9
 
0.2%
2 26
 
0.7%
3 60
 
1.5%
4 196
4.9%
5 350
8.8%
ValueCountFrequency (%)
7 1168
29.4%
6 475
12.0%
5 350
 
8.8%
4 196
 
4.9%
3 60
 
1.5%

w1_B02_3
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.

Distinct7
Distinct (%)0.3%
Missing1706
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean3.771403354
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.867627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.924122109
Coefficient of variation (CV)0.5101873038
Kurtosis-1.10355041
Mean3.771403354
Median Absolute Deviation (MAD)2
Skewness0.06723176907
Sum8546
Variance3.702245888
MonotonicityNot monotonic
2025-02-26T17:44:41.903918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 458
 
11.5%
1 400
 
10.1%
5 325
 
8.2%
3 301
 
7.6%
2 284
 
7.2%
6 268
 
6.7%
7 230
 
5.8%
(Missing) 1706
43.0%
ValueCountFrequency (%)
1 400
10.1%
2 284
7.2%
3 301
7.6%
4 458
11.5%
5 325
8.2%
ValueCountFrequency (%)
7 230
5.8%
6 268
6.7%
5 325
8.2%
4 458
11.5%
3 301
7.6%

w1_B02_4
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.

Distinct7
Distinct (%)0.3%
Missing1685
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean5.973327503
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:41.938510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.205733782
Coefficient of variation (CV)0.2018529507
Kurtosis0.9688547387
Mean5.973327503
Median Absolute Deviation (MAD)1
Skewness-1.167207016
Sum13661
Variance1.453793953
MonotonicityNot monotonic
2025-02-26T17:44:41.976059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 1036
26.1%
6 582
 
14.7%
5 368
 
9.3%
4 207
 
5.2%
3 69
 
1.7%
2 17
 
0.4%
1 8
 
0.2%
(Missing) 1685
42.4%
ValueCountFrequency (%)
1 8
 
0.2%
2 17
 
0.4%
3 69
 
1.7%
4 207
5.2%
5 368
9.3%
ValueCountFrequency (%)
7 1036
26.1%
6 582
14.7%
5 368
 
9.3%
4 207
 
5.2%
3 69
 
1.7%

w1_B02_5
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.

Distinct7
Distinct (%)0.3%
Missing1690
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean4.928571429
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.011453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.477488114
Coefficient of variation (CV)0.2997801971
Kurtosis-0.5334984522
Mean4.928571429
Median Absolute Deviation (MAD)1
Skewness-0.3103415247
Sum11247
Variance2.182971128
MonotonicityNot monotonic
2025-02-26T17:44:42.047687image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 530
 
13.3%
5 515
 
13.0%
6 444
 
11.2%
7 416
 
10.5%
3 257
 
6.5%
2 85
 
2.1%
1 35
 
0.9%
(Missing) 1690
42.5%
ValueCountFrequency (%)
1 35
 
0.9%
2 85
 
2.1%
3 257
6.5%
4 530
13.3%
5 515
13.0%
ValueCountFrequency (%)
7 416
10.5%
6 444
11.2%
5 515
13.0%
4 530
13.3%
3 257
6.5%

w1_B02_6
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.

Distinct7
Distinct (%)0.3%
Missing1692
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean5.125877193
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.083722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.468533974
Coefficient of variation (CV)0.2864941783
Kurtosis-0.4750079502
Mean5.125877193
Median Absolute Deviation (MAD)1
Skewness-0.4669818536
Sum11687
Variance2.156592034
MonotonicityNot monotonic
2025-02-26T17:44:42.119701image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 533
 
13.4%
7 501
 
12.6%
6 497
 
12.5%
4 417
 
10.5%
3 226
 
5.7%
2 81
 
2.0%
1 25
 
0.6%
(Missing) 1692
42.6%
ValueCountFrequency (%)
1 25
 
0.6%
2 81
 
2.0%
3 226
5.7%
4 417
10.5%
5 533
13.4%
ValueCountFrequency (%)
7 501
12.6%
6 497
12.5%
5 533
13.4%
4 417
10.5%
3 226
5.7%

w1_B02_7
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.

Distinct7
Distinct (%)0.3%
Missing1690
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean5.836985101
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.154880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.381813113
Coefficient of variation (CV)0.2367340483
Kurtosis1.277902554
Mean5.836985101
Median Absolute Deviation (MAD)1
Skewness-1.280580074
Sum13320
Variance1.909407478
MonotonicityNot monotonic
2025-02-26T17:44:42.191675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 997
25.1%
6 549
 
13.8%
5 365
 
9.2%
4 208
 
5.2%
3 95
 
2.4%
2 37
 
0.9%
1 31
 
0.8%
(Missing) 1690
42.5%
ValueCountFrequency (%)
1 31
 
0.8%
2 37
 
0.9%
3 95
 
2.4%
4 208
5.2%
5 365
9.2%
ValueCountFrequency (%)
7 997
25.1%
6 549
13.8%
5 365
 
9.2%
4 208
 
5.2%
3 95
 
2.4%

w1_B02_8
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02_9
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.

Distinct7
Distinct (%)0.3%
Missing1689
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean5.141918528
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.226813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.697812481
Coefficient of variation (CV)0.3301904672
Kurtosis-0.930076196
Mean5.141918528
Median Absolute Deviation (MAD)2
Skewness-0.440845299
Sum11739
Variance2.88256722
MonotonicityNot monotonic
2025-02-26T17:44:42.264695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 757
19.1%
4 414
 
10.4%
5 349
 
8.8%
6 317
 
8.0%
3 283
 
7.1%
2 125
 
3.1%
1 38
 
1.0%
(Missing) 1689
42.5%
ValueCountFrequency (%)
1 38
 
1.0%
2 125
 
3.1%
3 283
7.1%
4 414
10.4%
5 349
8.8%
ValueCountFrequency (%)
7 757
19.1%
6 317
8.0%
5 349
8.8%
4 414
10.4%
3 283
 
7.1%

w1_B02_10
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.

Distinct7
Distinct (%)0.3%
Missing1693
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean5.860465116
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.301285image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.376401498
Coefficient of variation (CV)0.2348621603
Kurtosis0.6752652045
Mean5.860465116
Median Absolute Deviation (MAD)1
Skewness-1.152395889
Sum13356
Variance1.894481083
MonotonicityNot monotonic
2025-02-26T17:44:42.338246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 1062
26.7%
6 472
 
11.9%
5 346
 
8.7%
4 233
 
5.9%
3 114
 
2.9%
2 34
 
0.9%
1 18
 
0.5%
(Missing) 1693
42.6%
ValueCountFrequency (%)
1 18
 
0.5%
2 34
 
0.9%
3 114
 
2.9%
4 233
5.9%
5 346
8.7%
ValueCountFrequency (%)
7 1062
26.7%
6 472
11.9%
5 346
 
8.7%
4 233
 
5.9%
3 114
 
2.9%

w1_B02_11
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.

Distinct7
Distinct (%)0.3%
Missing1690
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean4.668273444
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.440968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.672151533
Coefficient of variation (CV)0.3581948557
Kurtosis-0.6332366391
Mean4.668273444
Median Absolute Deviation (MAD)1
Skewness-0.33978497
Sum10653
Variance2.796090749
MonotonicityNot monotonic
2025-02-26T17:44:42.477968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 498
 
12.5%
4 474
 
11.9%
7 399
 
10.0%
6 367
 
9.2%
3 292
 
7.4%
2 144
 
3.6%
1 108
 
2.7%
(Missing) 1690
42.5%
ValueCountFrequency (%)
1 108
 
2.7%
2 144
 
3.6%
3 292
7.4%
4 474
11.9%
5 498
12.5%
ValueCountFrequency (%)
7 399
10.0%
6 367
9.2%
5 498
12.5%
4 474
11.9%
3 292
7.4%

w1_B02_12
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.

Distinct7
Distinct (%)0.3%
Missing1694
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean5.337576822
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.513945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.380172576
Coefficient of variation (CV)0.2585766204
Kurtosis-0.001552753504
Mean5.337576822
Median Absolute Deviation (MAD)1
Skewness-0.6616254742
Sum12159
Variance1.904876339
MonotonicityNot monotonic
2025-02-26T17:44:42.550556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 584
 
14.7%
7 551
 
13.9%
5 550
 
13.8%
4 367
 
9.2%
3 152
 
3.8%
2 50
 
1.3%
1 24
 
0.6%
(Missing) 1694
42.6%
ValueCountFrequency (%)
1 24
 
0.6%
2 50
 
1.3%
3 152
 
3.8%
4 367
9.2%
5 550
13.8%
ValueCountFrequency (%)
7 551
13.9%
6 584
14.7%
5 550
13.8%
4 367
9.2%
3 152
 
3.8%

w1_B02_13
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.

Distinct7
Distinct (%)0.3%
Missing1696
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean5.293936731
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.586004image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.433409265
Coefficient of variation (CV)0.2707643363
Kurtosis-0.03426021252
Mean5.293936731
Median Absolute Deviation (MAD)1
Skewness-0.6723097969
Sum12049
Variance2.054662122
MonotonicityNot monotonic
2025-02-26T17:44:42.622744image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 560
 
14.1%
7 559
 
14.1%
5 521
 
13.1%
4 392
 
9.9%
3 146
 
3.7%
2 67
 
1.7%
1 31
 
0.8%
(Missing) 1696
42.7%
ValueCountFrequency (%)
1 31
 
0.8%
2 67
 
1.7%
3 146
 
3.7%
4 392
9.9%
5 521
13.1%
ValueCountFrequency (%)
7 559
14.1%
6 560
14.1%
5 521
13.1%
4 392
9.9%
3 146
 
3.7%

w1_B02_14
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).

Distinct7
Distinct (%)0.3%
Missing1699
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean4.409590849
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.657733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.657206695
Coefficient of variation (CV)0.3758186989
Kurtosis-0.7099538051
Mean4.409590849
Median Absolute Deviation (MAD)1
Skewness-0.2135568313
Sum10023
Variance2.746334031
MonotonicityNot monotonic
2025-02-26T17:44:42.694286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 501
 
12.6%
5 479
 
12.1%
6 360
 
9.1%
3 340
 
8.6%
7 276
 
6.9%
2 195
 
4.9%
1 122
 
3.1%
(Missing) 1699
42.8%
ValueCountFrequency (%)
1 122
 
3.1%
2 195
 
4.9%
3 340
8.6%
4 501
12.6%
5 479
12.1%
ValueCountFrequency (%)
7 276
6.9%
6 360
9.1%
5 479
12.1%
4 501
12.6%
3 340
8.6%

w1_B02_15
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.

Distinct7
Distinct (%)0.3%
Missing1692
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean5.104824561
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.729359image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36.25
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.610620049
Coefficient of variation (CV)0.3155093832
Kurtosis-0.3624814055
Mean5.104824561
Median Absolute Deviation (MAD)1
Skewness-0.6158352371
Sum11639
Variance2.594096942
MonotonicityNot monotonic
2025-02-26T17:44:42.765906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 570
 
14.4%
5 483
 
12.2%
6 467
 
11.8%
4 393
 
9.9%
3 188
 
4.7%
2 117
 
2.9%
1 62
 
1.6%
(Missing) 1692
42.6%
ValueCountFrequency (%)
1 62
 
1.6%
2 117
 
2.9%
3 188
 
4.7%
4 393
9.9%
5 483
12.2%
ValueCountFrequency (%)
7 570
14.4%
6 467
11.8%
5 483
12.2%
4 393
9.9%
3 188
 
4.7%

w1_B02_16
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.

Distinct7
Distinct (%)0.3%
Missing1701
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean5.190224571
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.800973image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.451388973
Coefficient of variation (CV)0.2796389545
Kurtosis0.07077896107
Mean5.190224571
Median Absolute Deviation (MAD)1
Skewness-0.6700860686
Sum11787
Variance2.10652995
MonotonicityNot monotonic
2025-02-26T17:44:42.836775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 565
 
14.2%
6 548
 
13.8%
7 490
 
12.3%
4 395
 
9.9%
3 165
 
4.2%
2 61
 
1.5%
1 47
 
1.2%
(Missing) 1701
42.8%
ValueCountFrequency (%)
1 47
 
1.2%
2 61
 
1.5%
3 165
 
4.2%
4 395
9.9%
5 565
14.2%
ValueCountFrequency (%)
7 490
12.3%
6 548
13.8%
5 565
14.2%
4 395
9.9%
3 165
 
4.2%

w1_B02_17
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.

Distinct7
Distinct (%)0.3%
Missing1698
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean6.115655233
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.872825image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.170201714
Coefficient of variation (CV)0.191345272
Kurtosis1.644173051
Mean6.115655233
Median Absolute Deviation (MAD)0
Skewness-1.401009247
Sum13907
Variance1.369372052
MonotonicityNot monotonic
2025-02-26T17:44:42.909311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 1188
29.9%
6 522
 
13.1%
5 319
 
8.0%
4 161
 
4.1%
3 58
 
1.5%
2 20
 
0.5%
1 6
 
0.2%
(Missing) 1698
42.7%
ValueCountFrequency (%)
1 6
 
0.2%
2 20
 
0.5%
3 58
 
1.5%
4 161
4.1%
5 319
8.0%
ValueCountFrequency (%)
7 1188
29.9%
6 522
13.1%
5 319
 
8.0%
4 161
 
4.1%
3 58
 
1.5%

w1_B02_18
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.

Distinct7
Distinct (%)0.3%
Missing1700
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean6.107394366
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:42.945499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.207600285
Coefficient of variation (CV)0.1977275762
Kurtosis1.949259523
Mean6.107394366
Median Absolute Deviation (MAD)0
Skewness-1.469495841
Sum13876
Variance1.458298448
MonotonicityNot monotonic
2025-02-26T17:44:42.983015image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 1209
30.4%
6 488
 
12.3%
5 323
 
8.1%
4 155
 
3.9%
3 69
 
1.7%
2 15
 
0.4%
1 13
 
0.3%
(Missing) 1700
42.8%
ValueCountFrequency (%)
1 13
 
0.3%
2 15
 
0.4%
3 69
 
1.7%
4 155
3.9%
5 323
8.1%
ValueCountFrequency (%)
7 1209
30.4%
6 488
12.3%
5 323
 
8.1%
4 155
 
3.9%
3 69
 
1.7%

w1_B02JLU_1
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_2
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_3
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_4
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_5
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_6
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_7
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_8
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_9
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_10
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_11
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_12
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_13
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_14
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_15
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_16
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_17
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_B02JLU_18
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_C01_1
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous

Distinct19
Distinct (%)1.6%
Missing2761
Missing (%)69.5%
Infinite0
Infinite (%)0.0%
Mean0.8142031379
Minimum0
Maximum36
Zeros916
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.024239image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.401651585
Coefficient of variation (CV)2.949695811
Kurtosis69.87308392
Mean0.8142031379
Median Absolute Deviation (MAD)0
Skewness6.663766996
Sum986
Variance5.767930336
MonotonicityNot monotonic
2025-02-26T17:44:43.066532image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 916
 
23.1%
1 116
 
2.9%
2 53
 
1.3%
3 42
 
1.1%
4 19
 
0.5%
6 18
 
0.5%
5 11
 
0.3%
7 9
 
0.2%
10 8
 
0.2%
8 7
 
0.2%
Other values (9) 12
 
0.3%
(Missing) 2761
69.5%
ValueCountFrequency (%)
0 916
23.1%
1 116
 
2.9%
2 53
 
1.3%
3 42
 
1.1%
4 19
 
0.5%
ValueCountFrequency (%)
36 1
< 0.1%
32 1
< 0.1%
19 1
< 0.1%
17 1
< 0.1%
15 2
0.1%

w1_C01_2
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous

Distinct34
Distinct (%)2.8%
Missing2745
Missing (%)69.1%
Infinite0
Infinite (%)0.0%
Mean2.594947025
Minimum0
Maximum46
Zeros716
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.112029image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum46
Range46
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.982416368
Coefficient of variation (CV)2.305409825
Kurtosis17.34286141
Mean2.594947025
Median Absolute Deviation (MAD)0
Skewness3.859562305
Sum3184
Variance35.7893056
MonotonicityNot monotonic
2025-02-26T17:44:43.155810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 716
 
18.0%
1 136
 
3.4%
2 79
 
2.0%
3 56
 
1.4%
6 38
 
1.0%
4 37
 
0.9%
5 28
 
0.7%
7 18
 
0.5%
10 17
 
0.4%
8 16
 
0.4%
Other values (24) 86
 
2.2%
(Missing) 2745
69.1%
ValueCountFrequency (%)
0 716
18.0%
1 136
 
3.4%
2 79
 
2.0%
3 56
 
1.4%
4 37
 
0.9%
ValueCountFrequency (%)
46 1
< 0.1%
45 1
< 0.1%
42 2
0.1%
40 1
< 0.1%
39 1
< 0.1%

w1_C01_3
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously

Distinct24
Distinct (%)2.1%
Missing2822
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean1.244347826
Minimum0
Maximum48
Zeros823
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.198058image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum48
Range48
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.409445011
Coefficient of variation (CV)2.739945327
Kurtosis54.65269833
Mean1.244347826
Median Absolute Deviation (MAD)0
Skewness5.955353061
Sum1431
Variance11.62431528
MonotonicityNot monotonic
2025-02-26T17:44:43.240923image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 823
 
20.7%
1 100
 
2.5%
2 56
 
1.4%
3 41
 
1.0%
6 27
 
0.7%
5 25
 
0.6%
4 19
 
0.5%
7 13
 
0.3%
8 11
 
0.3%
10 10
 
0.3%
Other values (14) 25
 
0.6%
(Missing) 2822
71.0%
ValueCountFrequency (%)
0 823
20.7%
1 100
 
2.5%
2 56
 
1.4%
3 41
 
1.0%
4 19
 
0.5%
ValueCountFrequency (%)
48 1
< 0.1%
40 1
< 0.1%
24 2
0.1%
23 1
< 0.1%
22 1
< 0.1%

w1_C01_4
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence

Distinct57
Distinct (%)2.7%
Missing1841
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean9.981698733
Minimum0
Maximum99
Zeros46
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.289283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q312
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.37010615
Coefficient of variation (CV)1.038911955
Kurtosis18.31471384
Mean9.981698733
Median Absolute Deviation (MAD)4
Skewness3.686442536
Sum21271
Variance107.5391015
MonotonicityNot monotonic
2025-02-26T17:44:43.341351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 266
 
6.7%
5 214
 
5.4%
3 187
 
4.7%
7 157
 
4.0%
12 152
 
3.8%
10 135
 
3.4%
4 121
 
3.0%
14 91
 
2.3%
1 89
 
2.2%
8 88
 
2.2%
Other values (47) 631
 
15.9%
(Missing) 1841
46.3%
ValueCountFrequency (%)
0 46
 
1.2%
1 89
2.2%
2 54
 
1.4%
3 187
4.7%
4 121
3.0%
ValueCountFrequency (%)
99 1
 
< 0.1%
96 1
 
< 0.1%
84 3
0.1%
80 1
 
< 0.1%
76 2
0.1%

w1_C02_1
Real number (ℝ)

Missing 

How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1805
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean2.310106138
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.381959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.120119181
Coefficient of variation (CV)0.4848777995
Kurtosis-0.4342346213
Mean2.310106138
Median Absolute Deviation (MAD)1
Skewness0.5639598833
Sum5006
Variance1.254666979
MonotonicityNot monotonic
2025-02-26T17:44:43.423929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 683
 
17.2%
1 615
 
15.5%
3 545
 
13.7%
4 230
 
5.8%
5 94
 
2.4%
(Missing) 1805
45.4%
ValueCountFrequency (%)
1 615
15.5%
2 683
17.2%
3 545
13.7%
4 230
 
5.8%
5 94
 
2.4%
ValueCountFrequency (%)
5 94
 
2.4%
4 230
 
5.8%
3 545
13.7%
2 683
17.2%
1 615
15.5%

w1_C02_2
Real number (ℝ)

Missing 

How often do you take notes in class? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1793
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean4.304726939
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.464681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9195512621
Coefficient of variation (CV)0.2136143071
Kurtosis0.945459415
Mean4.304726939
Median Absolute Deviation (MAD)0
Skewness-1.256108341
Sum9380
Variance0.8455745237
MonotonicityNot monotonic
2025-02-26T17:44:43.506815image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1199
30.2%
4 581
 
14.6%
3 282
 
7.1%
2 98
 
2.5%
1 19
 
0.5%
(Missing) 1793
45.1%
ValueCountFrequency (%)
1 19
 
0.5%
2 98
 
2.5%
3 282
 
7.1%
4 581
14.6%
5 1199
30.2%
ValueCountFrequency (%)
5 1199
30.2%
4 581
14.6%
3 282
 
7.1%
2 98
 
2.5%
1 19
 
0.5%

w1_C02_3
Real number (ℝ)

Missing 

How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1795
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean3.017914561
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.547249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.22592652
Coefficient of variation (CV)0.4062164436
Kurtosis-0.9142396266
Mean3.017914561
Median Absolute Deviation (MAD)1
Skewness0.06022506388
Sum6570
Variance1.502895833
MonotonicityNot monotonic
2025-02-26T17:44:43.588058image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 655
 
16.5%
2 513
 
12.9%
4 426
 
10.7%
5 323
 
8.1%
1 260
 
6.5%
(Missing) 1795
45.2%
ValueCountFrequency (%)
1 260
 
6.5%
2 513
12.9%
3 655
16.5%
4 426
10.7%
5 323
8.1%
ValueCountFrequency (%)
5 323
8.1%
4 426
10.7%
3 655
16.5%
2 513
12.9%
1 260
 
6.5%

w1_C02_4
Real number (ℝ)

Missing 

How often do you audio record the lecture? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1797
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean2.018390805
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.628947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.215747707
Coefficient of variation (CV)0.6023351397
Kurtosis-0.09437207507
Mean2.018390805
Median Absolute Deviation (MAD)1
Skewness0.9963556407
Sum4390
Variance1.478042487
MonotonicityNot monotonic
2025-02-26T17:44:43.669228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1033
26.0%
2 506
 
12.7%
3 316
 
8.0%
4 203
 
5.1%
5 117
 
2.9%
(Missing) 1797
45.2%
ValueCountFrequency (%)
1 1033
26.0%
2 506
12.7%
3 316
 
8.0%
4 203
 
5.1%
5 117
 
2.9%
ValueCountFrequency (%)
5 117
 
2.9%
4 203
 
5.1%
3 316
 
8.0%
2 506
12.7%
1 1033
26.0%

w1_C02_5
Real number (ℝ)

Missing 

How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1798
Missing (%)45.3%
Infinite0
Infinite (%)0.0%
Mean2.706071757
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.709791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.071141735
Coefficient of variation (CV)0.3958290213
Kurtosis-0.4728415883
Mean2.706071757
Median Absolute Deviation (MAD)1
Skewness0.2386175293
Sum5883
Variance1.147344617
MonotonicityNot monotonic
2025-02-26T17:44:43.749381image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 768
19.3%
2 647
 
16.3%
4 334
 
8.4%
1 294
 
7.4%
5 131
 
3.3%
(Missing) 1798
45.3%
ValueCountFrequency (%)
1 294
 
7.4%
2 647
16.3%
3 768
19.3%
4 334
8.4%
5 131
 
3.3%
ValueCountFrequency (%)
5 131
 
3.3%
4 334
8.4%
3 768
19.3%
2 647
16.3%
1 294
 
7.4%

w1_C02_6
Real number (ℝ)

Missing 

How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1801
Missing (%)45.3%
Infinite0
Infinite (%)0.0%
Mean2.900506679
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.788489image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.142902248
Coefficient of variation (CV)0.394035379
Kurtosis-0.7571113599
Mean2.900506679
Median Absolute Deviation (MAD)1
Skewness0.05999612927
Sum6297
Variance1.30622555
MonotonicityNot monotonic
2025-02-26T17:44:43.832575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 698
 
17.6%
2 541
 
13.6%
4 471
 
11.9%
1 267
 
6.7%
5 194
 
4.9%
(Missing) 1801
45.3%
ValueCountFrequency (%)
1 267
 
6.7%
2 541
13.6%
3 698
17.6%
4 471
11.9%
5 194
 
4.9%
ValueCountFrequency (%)
5 194
 
4.9%
4 471
11.9%
3 698
17.6%
2 541
13.6%
1 267
 
6.7%

w1_C02_7
Real number (ℝ)

Missing 

How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1798
Missing (%)45.3%
Infinite0
Infinite (%)0.0%
Mean3.392364305
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.874604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.198694114
Coefficient of variation (CV)0.3533506445
Kurtosis-0.763195894
Mean3.392364305
Median Absolute Deviation (MAD)1
Skewness-0.374291618
Sum7375
Variance1.436867578
MonotonicityNot monotonic
2025-02-26T17:44:43.916994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 678
 
17.1%
3 544
 
13.7%
5 434
 
10.9%
2 343
 
8.6%
1 175
 
4.4%
(Missing) 1798
45.3%
ValueCountFrequency (%)
1 175
 
4.4%
2 343
8.6%
3 544
13.7%
4 678
17.1%
5 434
10.9%
ValueCountFrequency (%)
5 434
10.9%
4 678
17.1%
3 544
13.7%
2 343
8.6%
1 175
 
4.4%

w1_C02_8
Real number (ℝ)

Missing 

How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1801
Missing (%)45.3%
Infinite0
Infinite (%)0.0%
Mean3.40027637
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:43.957633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.28428284
Coefficient of variation (CV)0.3776995455
Kurtosis-0.9148481133
Mean3.40027637
Median Absolute Deviation (MAD)1
Skewness-0.3771849947
Sum7382
Variance1.649382412
MonotonicityNot monotonic
2025-02-26T17:44:43.999610image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 576
 
14.5%
5 532
 
13.4%
3 518
 
13.0%
2 319
 
8.0%
1 226
 
5.7%
(Missing) 1801
45.3%
ValueCountFrequency (%)
1 226
 
5.7%
2 319
8.0%
3 518
13.0%
4 576
14.5%
5 532
13.4%
ValueCountFrequency (%)
5 532
13.4%
4 576
14.5%
3 518
13.0%
2 319
8.0%
1 226
 
5.7%

w1_C02_9
Real number (ℝ)

Missing 

How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1801
Missing (%)45.3%
Infinite0
Infinite (%)0.0%
Mean2.691386458
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:44.039960image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.419292503
Coefficient of variation (CV)0.5273462305
Kurtosis-1.232965302
Mean2.691386458
Median Absolute Deviation (MAD)1
Skewness0.2860240842
Sum5843
Variance2.01439121
MonotonicityNot monotonic
2025-02-26T17:44:44.080870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 610
 
15.4%
2 462
 
11.6%
3 419
 
10.5%
4 348
 
8.8%
5 332
 
8.4%
(Missing) 1801
45.3%
ValueCountFrequency (%)
1 610
15.4%
2 462
11.6%
3 419
10.5%
4 348
8.8%
5 332
8.4%
ValueCountFrequency (%)
5 332
8.4%
4 348
8.8%
3 419
10.5%
2 462
11.6%
1 610
15.4%

w1_C02_10
Real number (ℝ)

Missing 

How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1794
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean4.161157025
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:44.121884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.059210296
Coefficient of variation (CV)0.2545470622
Kurtosis0.4778529105
Mean4.161157025
Median Absolute Deviation (MAD)0
Skewness-1.141714759
Sum9063
Variance1.121926451
MonotonicityNot monotonic
2025-02-26T17:44:44.162144image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1126
28.3%
4 523
 
13.2%
3 336
 
8.5%
2 140
 
3.5%
1 53
 
1.3%
(Missing) 1794
45.2%
ValueCountFrequency (%)
1 53
 
1.3%
2 140
 
3.5%
3 336
 
8.5%
4 523
13.2%
5 1126
28.3%
ValueCountFrequency (%)
5 1126
28.3%
4 523
13.2%
3 336
 
8.5%
2 140
 
3.5%
1 53
 
1.3%

w1_C02_11
Real number (ℝ)

Missing 

How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1795
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean2.165365181
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:44.202610image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.262887341
Coefficient of variation (CV)0.5832214133
Kurtosis-0.4772955606
Mean2.165365181
Median Absolute Deviation (MAD)1
Skewness0.800786552
Sum4714
Variance1.594884437
MonotonicityNot monotonic
2025-02-26T17:44:44.242116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 920
23.2%
2 494
 
12.4%
3 394
 
9.9%
4 221
 
5.6%
5 148
 
3.7%
(Missing) 1795
45.2%
ValueCountFrequency (%)
1 920
23.2%
2 494
12.4%
3 394
9.9%
4 221
 
5.6%
5 148
 
3.7%
ValueCountFrequency (%)
5 148
 
3.7%
4 221
 
5.6%
3 394
9.9%
2 494
12.4%
1 920
23.2%

w1_C02_12
Unsupported

Missing  Rejected  Unsupported 

How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_D01
Real number (ℝ)

Missing  Skewed  Zeros 

About how many university students can you contact for help in studying?

Distinct85
Distinct (%)4.3%
Missing1980
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean-4.630206279 × 1015
Minimum-9.223372037 × 1018
Maximum1 × 1012
Zeros116
Zeros (%)2.9%
Negative4
Negative (%)0.1%
Memory size35.0 KiB
2025-02-26T17:44:44.358726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-9.223372037 × 1018
5-th percentile0
Q14
median10
Q320
95-th percentile200
Maximum1 × 1012
Range-9.223371037 × 1018
Interquartile range (IQR)16

Descriptive statistics

Standard deviation2.066545919 × 1017
Coefficient of variation (CV)-44.63183268
Kurtosis1992
Mean-4.630206279 × 1015
Median Absolute Deviation (MAD)7
Skewness-44.63182721
Sum-9.223370908 × 1018
Variance4.270612035 × 1034
MonotonicityNot monotonic
2025-02-26T17:44:44.408905image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 407
 
10.2%
5 293
 
7.4%
3 160
 
4.0%
20 148
 
3.7%
2 121
 
3.0%
0 116
 
2.9%
100 111
 
2.8%
1 91
 
2.3%
30 74
 
1.9%
4 66
 
1.7%
Other values (75) 405
 
10.2%
(Missing) 1980
49.8%
ValueCountFrequency (%)
-9223372036854775808 1
 
< 0.1%
-50 1
 
< 0.1%
-20 1
 
< 0.1%
-5 1
 
< 0.1%
0 116
2.9%
ValueCountFrequency (%)
999999999999 1
< 0.1%
99999999999 1
< 0.1%
10000000000 2
0.1%
5650000000 1
< 0.1%
1234567890 1
< 0.1%

w1_D02
Real number (ℝ)

Missing 

Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]

Distinct2
Distinct (%)0.1%
Missing1754
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean1.493237151
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:44.450076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5000670037
Coefficient of variation (CV)0.3348878666
Kurtosis-2.001072304
Mean1.493237151
Median Absolute Deviation (MAD)0
Skewness0.0270721844
Sum3312
Variance0.2500670082
MonotonicityNot monotonic
2025-02-26T17:44:44.487548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1124
28.3%
2 1094
27.5%
(Missing) 1754
44.2%
ValueCountFrequency (%)
1 1124
28.3%
2 1094
27.5%
ValueCountFrequency (%)
2 1094
27.5%
1 1124
28.3%

w1_D03
Real number (ℝ)

Missing 

How many informal study groups do you participate in?

Distinct15
Distinct (%)1.4%
Missing2892
Missing (%)72.8%
Infinite0
Infinite (%)0.0%
Mean2.499074074
Minimum0
Maximum34
Zeros11
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:44.525176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum34
Range34
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.996753406
Coefficient of variation (CV)0.7989972874
Kurtosis77.3042112
Mean2.499074074
Median Absolute Deviation (MAD)1
Skewness6.200715198
Sum2699
Variance3.987024165
MonotonicityNot monotonic
2025-02-26T17:44:44.566571image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 328
 
8.3%
1 321
 
8.1%
3 228
 
5.7%
4 78
 
2.0%
5 58
 
1.5%
6 31
 
0.8%
7 14
 
0.4%
0 11
 
0.3%
8 4
 
0.1%
10 2
 
0.1%
Other values (5) 5
 
0.1%
(Missing) 2892
72.8%
ValueCountFrequency (%)
0 11
 
0.3%
1 321
8.1%
2 328
8.3%
3 228
5.7%
4 78
 
2.0%
ValueCountFrequency (%)
34 1
< 0.1%
25 1
< 0.1%
20 1
< 0.1%
12 1
< 0.1%
10 2
0.1%

w1_D04
Real number (ℝ)

Missing 

About how many people are in the informal study group? If you have more than one, think about the one you meet most often

Distinct24
Distinct (%)2.2%
Missing2891
Missing (%)72.8%
Infinite0
Infinite (%)0.0%
Mean5.222016651
Minimum0
Maximum100
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:44.611516image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile10
Maximum100
Range100
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.364554105
Coefficient of variation (CV)1.02729548
Kurtosis111.6563176
Mean5.222016651
Median Absolute Deviation (MAD)1
Skewness8.484932616
Sum5645
Variance28.77844074
MonotonicityNot monotonic
2025-02-26T17:44:44.655506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 265
 
6.7%
3 245
 
6.2%
4 220
 
5.5%
6 93
 
2.3%
2 79
 
2.0%
10 41
 
1.0%
8 34
 
0.9%
7 24
 
0.6%
1 22
 
0.6%
20 12
 
0.3%
Other values (14) 46
 
1.2%
(Missing) 2891
72.8%
ValueCountFrequency (%)
0 7
 
0.2%
1 22
 
0.6%
2 79
 
2.0%
3 245
6.2%
4 220
5.5%
ValueCountFrequency (%)
100 1
< 0.1%
56 1
< 0.1%
50 2
0.1%
40 2
0.1%
35 1
< 0.1%

w1_D05
Real number (ℝ)

Missing 

How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week

Distinct6
Distinct (%)0.5%
Missing2864
Missing (%)72.1%
Infinite0
Infinite (%)0.0%
Mean2.702166065
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:44.694868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2.5
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.216312939
Coefficient of variation (CV)0.4501251623
Kurtosis0.5032634578
Mean2.702166065
Median Absolute Deviation (MAD)0.5
Skewness0.8502275365
Sum2994
Variance1.479417165
MonotonicityNot monotonic
2025-02-26T17:44:44.732203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 409
 
10.3%
3 330
 
8.3%
1 145
 
3.7%
4 123
 
3.1%
5 57
 
1.4%
6 44
 
1.1%
(Missing) 2864
72.1%
ValueCountFrequency (%)
1 145
 
3.7%
2 409
10.3%
3 330
8.3%
4 123
 
3.1%
5 57
 
1.4%
ValueCountFrequency (%)
6 44
 
1.1%
5 57
 
1.4%
4 123
 
3.1%
3 330
8.3%
2 409
10.3%

w1_E01_1
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo

Distinct6
Distinct (%)0.3%
Missing1879
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean2.516483516
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:44.767924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.027851169
Coefficient of variation (CV)0.8058273203
Kurtosis-1.169039504
Mean2.516483516
Median Absolute Deviation (MAD)0
Skewness0.7751311347
Sum5267
Variance4.112180363
MonotonicityNot monotonic
2025-02-26T17:44:44.807356image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1253
31.5%
6 334
 
8.4%
5 218
 
5.5%
4 129
 
3.2%
3 86
 
2.2%
2 73
 
1.8%
(Missing) 1879
47.3%
ValueCountFrequency (%)
1 1253
31.5%
2 73
 
1.8%
3 86
 
2.2%
4 129
 
3.2%
5 218
 
5.5%
ValueCountFrequency (%)
6 334
8.4%
5 218
5.5%
4 129
 
3.2%
3 86
 
2.2%
2 73
 
1.8%

w1_E01_2
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook

Distinct6
Distinct (%)0.3%
Missing1836
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean2.214419476
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:44.844043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6570802924
Coefficient of variation (CV)0.2967280136
Kurtosis13.64046237
Mean2.214419476
Median Absolute Deviation (MAD)0
Skewness3.420754516
Sum4730
Variance0.4317545106
MonotonicityNot monotonic
2025-02-26T17:44:44.883878image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1806
45.5%
3 208
 
5.2%
4 53
 
1.3%
5 27
 
0.7%
1 21
 
0.5%
6 21
 
0.5%
(Missing) 1836
46.2%
ValueCountFrequency (%)
1 21
 
0.5%
2 1806
45.5%
3 208
 
5.2%
4 53
 
1.3%
5 27
 
0.7%
ValueCountFrequency (%)
6 21
 
0.5%
5 27
 
0.7%
4 53
 
1.3%
3 208
 
5.2%
2 1806
45.5%

w1_E01_3
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn

Distinct6
Distinct (%)0.3%
Missing1895
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean2.227250843
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:44.921037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.961176361
Coefficient of variation (CV)0.8805368139
Kurtosis-0.6208653023
Mean2.227250843
Median Absolute Deviation (MAD)0
Skewness1.098157157
Sum4626
Variance3.846212718
MonotonicityNot monotonic
2025-02-26T17:44:44.960859image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1442
36.3%
6 282
 
7.1%
5 200
 
5.0%
4 76
 
1.9%
2 43
 
1.1%
3 34
 
0.9%
(Missing) 1895
47.7%
ValueCountFrequency (%)
1 1442
36.3%
2 43
 
1.1%
3 34
 
0.9%
4 76
 
1.9%
5 200
 
5.0%
ValueCountFrequency (%)
6 282
7.1%
5 200
5.0%
4 76
 
1.9%
3 34
 
0.9%
2 43
 
1.1%

w1_E01_4
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube

Distinct6
Distinct (%)0.3%
Missing1838
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean2.56841612
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:44.998637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9261303446
Coefficient of variation (CV)0.3605842283
Kurtosis1.469271075
Mean2.56841612
Median Absolute Deviation (MAD)0
Skewness1.335858894
Sum5481
Variance0.8577174151
MonotonicityNot monotonic
2025-02-26T17:44:45.036953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1293
32.6%
3 434
 
10.9%
4 268
 
6.7%
5 68
 
1.7%
1 49
 
1.2%
6 22
 
0.6%
(Missing) 1838
46.3%
ValueCountFrequency (%)
1 49
 
1.2%
2 1293
32.6%
3 434
 
10.9%
4 268
 
6.7%
5 68
 
1.7%
ValueCountFrequency (%)
6 22
 
0.6%
5 68
 
1.7%
4 268
 
6.7%
3 434
 
10.9%
2 1293
32.6%

w1_E01_5
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram

Distinct6
Distinct (%)0.3%
Missing1847
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean2.526588235
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.074499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.096507846
Coefficient of variation (CV)0.4339875531
Kurtosis1.972421158
Mean2.526588235
Median Absolute Deviation (MAD)0
Skewness1.534327182
Sum5369
Variance1.202329456
MonotonicityNot monotonic
2025-02-26T17:44:45.112908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1329
33.5%
3 320
 
8.1%
4 181
 
4.6%
1 129
 
3.2%
5 98
 
2.5%
6 68
 
1.7%
(Missing) 1847
46.5%
ValueCountFrequency (%)
1 129
 
3.2%
2 1329
33.5%
3 320
 
8.1%
4 181
 
4.6%
5 98
 
2.5%
ValueCountFrequency (%)
6 68
 
1.7%
5 98
 
2.5%
4 181
 
4.6%
3 320
 
8.1%
2 1329
33.5%

w1_E01_6
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram

Distinct6
Distinct (%)0.3%
Missing1891
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean1.998077847
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.150254image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.827407831
Coefficient of variation (CV)0.9145828995
Kurtosis0.3700211426
Mean1.998077847
Median Absolute Deviation (MAD)0
Skewness1.464404223
Sum4158
Variance3.33941938
MonotonicityNot monotonic
2025-02-26T17:44:45.188556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1536
38.7%
6 262
 
6.6%
5 102
 
2.6%
2 64
 
1.6%
4 61
 
1.5%
3 56
 
1.4%
(Missing) 1891
47.6%
ValueCountFrequency (%)
1 1536
38.7%
2 64
 
1.6%
3 56
 
1.4%
4 61
 
1.5%
5 102
 
2.6%
ValueCountFrequency (%)
6 262
6.6%
5 102
 
2.6%
4 61
 
1.5%
3 56
 
1.4%
2 64
 
1.6%

w1_E01_7
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest

Distinct6
Distinct (%)0.3%
Missing1891
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean2.714079769
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.225200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.861151094
Coefficient of variation (CV)0.6857392753
Kurtosis-1.369791418
Mean2.714079769
Median Absolute Deviation (MAD)1
Skewness0.4814475925
Sum5648
Variance3.463883396
MonotonicityNot monotonic
2025-02-26T17:44:45.263814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 965
24.3%
5 321
 
8.1%
4 292
 
7.4%
6 195
 
4.9%
2 184
 
4.6%
3 124
 
3.1%
(Missing) 1891
47.6%
ValueCountFrequency (%)
1 965
24.3%
2 184
 
4.6%
3 124
 
3.1%
4 292
 
7.4%
5 321
 
8.1%
ValueCountFrequency (%)
6 195
4.9%
5 321
8.1%
4 292
7.4%
3 124
 
3.1%
2 184
4.6%

w1_E01_8
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit

Distinct6
Distinct (%)0.3%
Missing1900
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean1.937741313
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.300077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.764088442
Coefficient of variation (CV)0.9103838732
Kurtosis0.6463473518
Mean1.937741313
Median Absolute Deviation (MAD)0
Skewness1.543622364
Sum4015
Variance3.11200803
MonotonicityNot monotonic
2025-02-26T17:44:45.339226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1550
39.0%
6 224
 
5.6%
5 106
 
2.7%
4 79
 
2.0%
2 64
 
1.6%
3 49
 
1.2%
(Missing) 1900
47.8%
ValueCountFrequency (%)
1 1550
39.0%
2 64
 
1.6%
3 49
 
1.2%
4 79
 
2.0%
5 106
 
2.7%
ValueCountFrequency (%)
6 224
5.6%
5 106
2.7%
4 79
 
2.0%
3 49
 
1.2%
2 64
 
1.6%

w1_E01_9
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr

Distinct6
Distinct (%)0.3%
Missing1939
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean1.709296606
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.376390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.676786022
Coefficient of variation (CV)0.9809801392
Kurtosis2.310274505
Mean1.709296606
Median Absolute Deviation (MAD)0
Skewness2.043960569
Sum3475
Variance2.811611365
MonotonicityNot monotonic
2025-02-26T17:44:45.415977image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1697
42.7%
6 236
 
5.9%
5 35
 
0.9%
2 28
 
0.7%
4 20
 
0.5%
3 17
 
0.4%
(Missing) 1939
48.8%
ValueCountFrequency (%)
1 1697
42.7%
2 28
 
0.7%
3 17
 
0.4%
4 20
 
0.5%
5 35
 
0.9%
ValueCountFrequency (%)
6 236
5.9%
5 35
 
0.9%
4 20
 
0.5%
3 17
 
0.4%
2 28
 
0.7%

w1_E01_10
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger

Distinct6
Distinct (%)0.3%
Missing1849
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean2.127178521
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.453036image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5943742698
Coefficient of variation (CV)0.2794190821
Kurtosis22.67614873
Mean2.127178521
Median Absolute Deviation (MAD)0
Skewness4.348123435
Sum4516
Variance0.3532807725
MonotonicityNot monotonic
2025-02-26T17:44:45.490768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1908
48.0%
3 105
 
2.6%
1 39
 
1.0%
4 32
 
0.8%
6 23
 
0.6%
5 16
 
0.4%
(Missing) 1849
46.6%
ValueCountFrequency (%)
1 39
 
1.0%
2 1908
48.0%
3 105
 
2.6%
4 32
 
0.8%
5 16
 
0.4%
ValueCountFrequency (%)
6 23
 
0.6%
5 16
 
0.4%
4 32
 
0.8%
3 105
 
2.6%
2 1908
48.0%

w1_E01_11
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp

Distinct6
Distinct (%)0.3%
Missing1894
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean2.174205967
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.527818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.918028578
Coefficient of variation (CV)0.8821742773
Kurtosis-0.331343151
Mean2.174205967
Median Absolute Deviation (MAD)0
Skewness1.201503015
Sum4518
Variance3.678833625
MonotonicityNot monotonic
2025-02-26T17:44:45.567022image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1437
36.2%
6 295
 
7.4%
5 125
 
3.1%
4 89
 
2.2%
3 66
 
1.7%
2 66
 
1.7%
(Missing) 1894
47.7%
ValueCountFrequency (%)
1 1437
36.2%
2 66
 
1.7%
3 66
 
1.7%
4 89
 
2.2%
5 125
 
3.1%
ValueCountFrequency (%)
6 295
7.4%
5 125
3.1%
4 89
 
2.2%
3 66
 
1.7%
2 66
 
1.7%

w1_E01_12
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts

Distinct6
Distinct (%)0.3%
Missing1890
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean2.214217099
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.605115image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.884005259
Coefficient of variation (CV)0.8508674511
Kurtosis-0.2639096017
Mean2.214217099
Median Absolute Deviation (MAD)0
Skewness1.199230662
Sum4610
Variance3.549475816
MonotonicityNot monotonic
2025-02-26T17:44:45.643564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1324
33.3%
6 299
 
7.5%
2 176
 
4.4%
5 109
 
2.7%
3 101
 
2.5%
4 73
 
1.8%
(Missing) 1890
47.6%
ValueCountFrequency (%)
1 1324
33.3%
2 176
 
4.4%
3 101
 
2.5%
4 73
 
1.8%
5 109
 
2.7%
ValueCountFrequency (%)
6 299
7.5%
5 109
 
2.7%
4 73
 
1.8%
3 101
 
2.5%
2 176
4.4%

w1_E01_13
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype

Distinct6
Distinct (%)0.3%
Missing1897
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean2.599518072
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.680432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.125089994
Coefficient of variation (CV)0.8174938334
Kurtosis-1.345019339
Mean2.599518072
Median Absolute Deviation (MAD)0
Skewness0.7064309768
Sum5394
Variance4.516007482
MonotonicityNot monotonic
2025-02-26T17:44:45.719853image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1258
31.7%
6 403
 
10.1%
5 228
 
5.7%
4 74
 
1.9%
3 58
 
1.5%
2 54
 
1.4%
(Missing) 1897
47.8%
ValueCountFrequency (%)
1 1258
31.7%
2 54
 
1.4%
3 58
 
1.5%
4 74
 
1.9%
5 228
 
5.7%
ValueCountFrequency (%)
6 403
10.1%
5 228
5.7%
4 74
 
1.9%
3 58
 
1.5%
2 54
 
1.4%

w1_E01_14
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom

Distinct6
Distinct (%)0.3%
Missing1897
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean2.896385542
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.756652image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.094986771
Coefficient of variation (CV)0.7233107405
Kurtosis-1.623883807
Mean2.896385542
Median Absolute Deviation (MAD)0
Skewness0.380167024
Sum6010
Variance4.388969572
MonotonicityNot monotonic
2025-02-26T17:44:45.795329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1053
26.5%
6 372
 
9.4%
5 336
 
8.5%
4 162
 
4.1%
3 93
 
2.3%
2 59
 
1.5%
(Missing) 1897
47.8%
ValueCountFrequency (%)
1 1053
26.5%
2 59
 
1.5%
3 93
 
2.3%
4 162
 
4.1%
5 336
 
8.5%
ValueCountFrequency (%)
6 372
9.4%
5 336
8.5%
4 162
4.1%
3 93
 
2.3%
2 59
 
1.5%

w1_E01_15
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat

Distinct6
Distinct (%)0.3%
Missing1895
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean2.914780934
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.831678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.142549512
Coefficient of variation (CV)0.73506365
Kurtosis-1.611348786
Mean2.914780934
Median Absolute Deviation (MAD)0
Skewness0.4190804091
Sum6054
Variance4.590518413
MonotonicityNot monotonic
2025-02-26T17:44:45.870466image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1044
26.3%
6 462
 
11.6%
5 244
 
6.1%
4 136
 
3.4%
2 99
 
2.5%
3 92
 
2.3%
(Missing) 1895
47.7%
ValueCountFrequency (%)
1 1044
26.3%
2 99
 
2.5%
3 92
 
2.3%
4 136
 
3.4%
5 244
 
6.1%
ValueCountFrequency (%)
6 462
11.6%
5 244
6.1%
4 136
 
3.4%
3 92
 
2.3%
2 99
 
2.5%

w1_E01_16
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder

Distinct6
Distinct (%)0.3%
Missing1898
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean1.882835101
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.906923image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.816009754
Coefficient of variation (CV)0.9645081256
Kurtosis0.9481584637
Mean1.882835101
Median Absolute Deviation (MAD)0
Skewness1.677412884
Sum3905
Variance3.297891428
MonotonicityNot monotonic
2025-02-26T17:44:45.945623image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1643
41.4%
6 284
 
7.2%
5 60
 
1.5%
3 30
 
0.8%
2 30
 
0.8%
4 27
 
0.7%
(Missing) 1898
47.8%
ValueCountFrequency (%)
1 1643
41.4%
2 30
 
0.8%
3 30
 
0.8%
4 27
 
0.7%
5 60
 
1.5%
ValueCountFrequency (%)
6 284
7.2%
5 60
 
1.5%
4 27
 
0.7%
3 30
 
0.8%
2 30
 
0.8%

w1_E01_17
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat

Distinct6
Distinct (%)0.3%
Missing1889
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean2.461353817
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:45.983461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.04507785
Coefficient of variation (CV)0.830875202
Kurtosis-1.08119762
Mean2.461353817
Median Absolute Deviation (MAD)0
Skewness0.8510370638
Sum5127
Variance4.182343411
MonotonicityNot monotonic
2025-02-26T17:44:46.022319image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1295
32.6%
6 351
 
8.8%
5 202
 
5.1%
4 88
 
2.2%
2 77
 
1.9%
3 70
 
1.8%
(Missing) 1889
47.6%
ValueCountFrequency (%)
1 1295
32.6%
2 77
 
1.9%
3 70
 
1.8%
4 88
 
2.2%
5 202
 
5.1%
ValueCountFrequency (%)
6 351
8.8%
5 202
5.1%
4 88
 
2.2%
3 70
 
1.8%
2 77
 
1.9%

w1_E01_18
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber

Distinct6
Distinct (%)0.3%
Missing1890
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean2.258885687
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:46.059958image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.985466248
Coefficient of variation (CV)0.8789582665
Kurtosis-0.6298580249
Mean2.258885687
Median Absolute Deviation (MAD)0
Skewness1.091048876
Sum4703
Variance3.94207622
MonotonicityNot monotonic
2025-02-26T17:44:46.099106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1418
35.7%
6 325
 
8.2%
5 153
 
3.9%
4 75
 
1.9%
2 63
 
1.6%
3 48
 
1.2%
(Missing) 1890
47.6%
ValueCountFrequency (%)
1 1418
35.7%
2 63
 
1.6%
3 48
 
1.2%
4 75
 
1.9%
5 153
 
3.9%
ValueCountFrequency (%)
6 325
8.2%
5 153
3.9%
4 75
 
1.9%
3 48
 
1.2%
2 63
 
1.6%

w1_E01_19
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok

Distinct6
Distinct (%)0.3%
Missing1884
Missing (%)47.4%
Infinite0
Infinite (%)0.0%
Mean2.707375479
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:46.136250image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.014823649
Coefficient of variation (CV)0.7441980857
Kurtosis-1.330547356
Mean2.707375479
Median Absolute Deviation (MAD)0
Skewness0.6056676813
Sum5653
Variance4.059514335
MonotonicityNot monotonic
2025-02-26T17:44:46.175035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1065
26.8%
6 357
 
9.0%
5 212
 
5.3%
4 177
 
4.5%
2 153
 
3.9%
3 124
 
3.1%
(Missing) 1884
47.4%
ValueCountFrequency (%)
1 1065
26.8%
2 153
 
3.9%
3 124
 
3.1%
4 177
 
4.5%
5 212
 
5.3%
ValueCountFrequency (%)
6 357
9.0%
5 212
5.3%
4 177
4.5%
3 124
 
3.1%
2 153
3.9%

w1_E01JLU_1
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Weibo(微博)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_2
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: LinkedIn

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_3
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Bilibili

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_4
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Acfun

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_5
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: lvzhou(绿洲)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_6
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Telegram

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_7
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Pinterest

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_8
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Huaban(花瓣)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_9
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_10
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Reddit

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_11
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tieba(贴吧)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_12
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Douban(豆瓣小组)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_13
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Skype

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_14
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Zoom

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_15
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_16
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: DingDing(钉钉)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_17
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tinder

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_18
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tantan(探探)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_19
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Momo(陌陌)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_20
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: WeChat(微信)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_21
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: QQ

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_22
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: TikTok(抖音)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_23
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Kuaishou(快手)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E01JLU_24
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Huoshan (火山小视频)

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_E02_1
Real number (ℝ)

Missing 

Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1851
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean2.032531825
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:46.212222image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9982898831
Coefficient of variation (CV)0.4911558436
Kurtosis0.1539788238
Mean2.032531825
Median Absolute Deviation (MAD)1
Skewness0.8118685613
Sum4311
Variance0.9965826906
MonotonicityNot monotonic
2025-02-26T17:44:46.254464image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 759
19.1%
2 754
19.0%
3 432
 
10.9%
4 132
 
3.3%
5 44
 
1.1%
(Missing) 1851
46.6%
ValueCountFrequency (%)
1 759
19.1%
2 754
19.0%
3 432
10.9%
4 132
 
3.3%
5 44
 
1.1%
ValueCountFrequency (%)
5 44
 
1.1%
4 132
 
3.3%
3 432
10.9%
2 754
19.0%
1 759
19.1%

w1_E02_2
Real number (ℝ)

Missing 

Do you use social networking sites to do research work? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1851
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean2.285714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:46.294927image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.201189886
Coefficient of variation (CV)0.5255205752
Kurtosis-0.4497668974
Mean2.285714286
Median Absolute Deviation (MAD)1
Skewness0.6992074042
Sum4848
Variance1.442857143
MonotonicityNot monotonic
2025-02-26T17:44:46.336737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 674
 
17.0%
2 673
 
16.9%
3 401
 
10.1%
4 240
 
6.0%
5 133
 
3.3%
(Missing) 1851
46.6%
ValueCountFrequency (%)
1 674
17.0%
2 673
16.9%
3 401
10.1%
4 240
 
6.0%
5 133
 
3.3%
ValueCountFrequency (%)
5 133
 
3.3%
4 240
 
6.0%
3 401
10.1%
2 673
16.9%
1 674
17.0%

w1_E02_3
Real number (ℝ)

Missing 

Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1867
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.737767221
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:46.377741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.355394711
Coefficient of variation (CV)0.495073029
Kurtosis-1.145668164
Mean2.737767221
Median Absolute Deviation (MAD)1
Skewness0.2190966271
Sum5763
Variance1.837094822
MonotonicityNot monotonic
2025-02-26T17:44:46.417777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 513
 
12.9%
3 483
 
12.2%
2 459
 
11.6%
4 367
 
9.2%
5 283
 
7.1%
(Missing) 1867
47.0%
ValueCountFrequency (%)
1 513
12.9%
2 459
11.6%
3 483
12.2%
4 367
9.2%
5 283
7.1%
ValueCountFrequency (%)
5 283
7.1%
4 367
9.2%
3 483
12.2%
2 459
11.6%
1 513
12.9%

w1_E02_4
Real number (ℝ)

Missing 

Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1867
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.446555819
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:46.458000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.200886382
Coefficient of variation (CV)0.4908477349
Kurtosis-0.6959189095
Mean2.446555819
Median Absolute Deviation (MAD)1
Skewness0.446577963
Sum5150
Variance1.442128103
MonotonicityNot monotonic
2025-02-26T17:44:46.499388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 574
 
14.5%
3 568
 
14.3%
2 560
 
14.1%
4 263
 
6.6%
5 140
 
3.5%
(Missing) 1867
47.0%
ValueCountFrequency (%)
1 574
14.5%
2 560
14.1%
3 568
14.3%
4 263
6.6%
5 140
 
3.5%
ValueCountFrequency (%)
5 140
 
3.5%
4 263
6.6%
3 568
14.3%
2 560
14.1%
1 574
14.5%

w1_E02_5
Real number (ℝ)

Missing 

Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1860
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean1.974905303
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:46.540813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.100292795
Coefficient of variation (CV)0.5571369896
Kurtosis0.3161344748
Mean1.974905303
Median Absolute Deviation (MAD)1
Skewness1.038483395
Sum4171
Variance1.210644235
MonotonicityNot monotonic
2025-02-26T17:44:46.650165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 919
23.1%
2 636
 
16.0%
3 325
 
8.2%
4 155
 
3.9%
5 77
 
1.9%
(Missing) 1860
46.8%
ValueCountFrequency (%)
1 919
23.1%
2 636
16.0%
3 325
 
8.2%
4 155
 
3.9%
5 77
 
1.9%
ValueCountFrequency (%)
5 77
 
1.9%
4 155
 
3.9%
3 325
 
8.2%
2 636
16.0%
1 919
23.1%

w1_E02_6
Real number (ℝ)

Missing 

Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1863
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean2.151730678
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:46.689439image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.146615799
Coefficient of variation (CV)0.5328807229
Kurtosis-0.2269955157
Mean2.151730678
Median Absolute Deviation (MAD)1
Skewness0.7915824854
Sum4538
Variance1.314727791
MonotonicityNot monotonic
2025-02-26T17:44:46.729526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 767
19.3%
2 644
 
16.2%
3 403
 
10.1%
4 201
 
5.1%
5 94
 
2.4%
(Missing) 1863
46.9%
ValueCountFrequency (%)
1 767
19.3%
2 644
16.2%
3 403
10.1%
4 201
 
5.1%
5 94
 
2.4%
ValueCountFrequency (%)
5 94
 
2.4%
4 201
 
5.1%
3 403
10.1%
2 644
16.2%
1 767
19.3%

w1_E02_7
Real number (ℝ)

Missing 

Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1863
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean2.012328118
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:46.768722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.046744177
Coefficient of variation (CV)0.5201657563
Kurtosis-0.004275844805
Mean2.012328118
Median Absolute Deviation (MAD)1
Skewness0.8522877966
Sum4244
Variance1.095673372
MonotonicityNot monotonic
2025-02-26T17:44:46.808857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 836
21.0%
2 670
 
16.9%
3 391
 
9.8%
4 165
 
4.2%
5 47
 
1.2%
(Missing) 1863
46.9%
ValueCountFrequency (%)
1 836
21.0%
2 670
16.9%
3 391
9.8%
4 165
 
4.2%
5 47
 
1.2%
ValueCountFrequency (%)
5 47
 
1.2%
4 165
 
4.2%
3 391
9.8%
2 670
16.9%
1 836
21.0%

w1_E02_8
Real number (ℝ)

Missing 

Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1868
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.798479087
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:46.847834image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.313913823
Coefficient of variation (CV)0.4695099668
Kurtosis-1.1104239
Mean2.798479087
Median Absolute Deviation (MAD)1
Skewness0.1208882264
Sum5888
Variance1.726369535
MonotonicityNot monotonic
2025-02-26T17:44:46.888647image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 524
 
13.2%
1 457
 
11.5%
2 444
 
11.2%
4 424
 
10.7%
5 255
 
6.4%
(Missing) 1868
47.0%
ValueCountFrequency (%)
1 457
11.5%
2 444
11.2%
3 524
13.2%
4 424
10.7%
5 255
6.4%
ValueCountFrequency (%)
5 255
6.4%
4 424
10.7%
3 524
13.2%
2 444
11.2%
1 457
11.5%

w1_E02_9
Real number (ℝ)

Missing 

Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1871
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean2.319847692
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:46.928349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.238098071
Coefficient of variation (CV)0.5336979991
Kurtosis-0.5893174656
Mean2.319847692
Median Absolute Deviation (MAD)1
Skewness0.6535926864
Sum4874
Variance1.532886834
MonotonicityNot monotonic
2025-02-26T17:44:46.969694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 683
 
17.2%
2 611
 
15.4%
3 409
 
10.3%
4 248
 
6.2%
5 150
 
3.8%
(Missing) 1871
47.1%
ValueCountFrequency (%)
1 683
17.2%
2 611
15.4%
3 409
10.3%
4 248
 
6.2%
5 150
 
3.8%
ValueCountFrequency (%)
5 150
 
3.8%
4 248
 
6.2%
3 409
10.3%
2 611
15.4%
1 683
17.2%

w1_E02_10
Real number (ℝ)

Missing 

Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1867
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.735866983
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.011813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.333101184
Coefficient of variation (CV)0.4872682742
Kurtosis-1.07631326
Mean2.735866983
Median Absolute Deviation (MAD)1
Skewness0.2441169662
Sum5759
Variance1.777158766
MonotonicityNot monotonic
2025-02-26T17:44:47.052008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 514
 
12.9%
2 486
 
12.2%
1 485
 
12.2%
4 340
 
8.6%
5 280
 
7.0%
(Missing) 1867
47.0%
ValueCountFrequency (%)
1 485
12.2%
2 486
12.2%
3 514
12.9%
4 340
8.6%
5 280
7.0%
ValueCountFrequency (%)
5 280
7.0%
4 340
8.6%
3 514
12.9%
2 486
12.2%
1 485
12.2%

w1_E02_11
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1870
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean2.690770695
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.092290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.304807672
Coefficient of variation (CV)0.4849196829
Kurtosis-1.039484843
Mean2.690770695
Median Absolute Deviation (MAD)1
Skewness0.2664665098
Sum5656
Variance1.702523061
MonotonicityNot monotonic
2025-02-26T17:44:47.132304image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 518
 
13.0%
3 496
 
12.5%
1 486
 
12.2%
4 364
 
9.2%
5 238
 
6.0%
(Missing) 1870
47.1%
ValueCountFrequency (%)
1 486
12.2%
2 518
13.0%
3 496
12.5%
4 364
9.2%
5 238
6.0%
ValueCountFrequency (%)
5 238
6.0%
4 364
9.2%
3 496
12.5%
2 518
13.0%
1 486
12.2%

w1_E02_12
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1872
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean2.269047619
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.171814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.16257917
Coefficient of variation (CV)0.5123643771
Kurtosis-0.3826537032
Mean2.269047619
Median Absolute Deviation (MAD)1
Skewness0.6841246481
Sum4765
Variance1.351590326
MonotonicityNot monotonic
2025-02-26T17:44:47.213805image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 677
 
17.0%
1 653
 
16.4%
3 433
 
10.9%
4 226
 
5.7%
5 111
 
2.8%
(Missing) 1872
47.1%
ValueCountFrequency (%)
1 653
16.4%
2 677
17.0%
3 433
10.9%
4 226
 
5.7%
5 111
 
2.8%
ValueCountFrequency (%)
5 111
 
2.8%
4 226
 
5.7%
3 433
10.9%
2 677
17.0%
1 653
16.4%

w1_E02_13
Real number (ℝ)

Missing 

Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1870
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean2.496194101
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.254366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.247838598
Coefficient of variation (CV)0.4998964615
Kurtosis-0.8325423089
Mean2.496194101
Median Absolute Deviation (MAD)1
Skewness0.4389860611
Sum5247
Variance1.557101167
MonotonicityNot monotonic
2025-02-26T17:44:47.295940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 582
 
14.7%
1 561
 
14.1%
3 481
 
12.1%
4 311
 
7.8%
5 167
 
4.2%
(Missing) 1870
47.1%
ValueCountFrequency (%)
1 561
14.1%
2 582
14.7%
3 481
12.1%
4 311
7.8%
5 167
 
4.2%
ValueCountFrequency (%)
5 167
 
4.2%
4 311
7.8%
3 481
12.1%
2 582
14.7%
1 561
14.1%

w1_E02_14
Real number (ℝ)

Missing 

Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1864
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean1.765180266
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.335986image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9321460028
Coefficient of variation (CV)0.5280741129
Kurtosis1.243046476
Mean1.765180266
Median Absolute Deviation (MAD)1
Skewness1.252840366
Sum3721
Variance0.8688961706
MonotonicityNot monotonic
2025-02-26T17:44:47.377043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1034
26.0%
2 690
 
17.4%
3 261
 
6.6%
4 91
 
2.3%
5 32
 
0.8%
(Missing) 1864
46.9%
ValueCountFrequency (%)
1 1034
26.0%
2 690
17.4%
3 261
 
6.6%
4 91
 
2.3%
5 32
 
0.8%
ValueCountFrequency (%)
5 32
 
0.8%
4 91
 
2.3%
3 261
 
6.6%
2 690
17.4%
1 1034
26.0%

w1_E02_15
Real number (ℝ)

Missing 

Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1865
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.714285714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.417167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.375059353
Coefficient of variation (CV)0.5066008142
Kurtosis-1.253819308
Mean2.714285714
Median Absolute Deviation (MAD)1
Skewness0.1740832575
Sum5719
Variance1.890788224
MonotonicityNot monotonic
2025-02-26T17:44:47.458136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 570
 
14.4%
4 450
 
11.3%
3 419
 
10.5%
2 416
 
10.5%
5 252
 
6.3%
(Missing) 1865
47.0%
ValueCountFrequency (%)
1 570
14.4%
2 416
10.5%
3 419
10.5%
4 450
11.3%
5 252
6.3%
ValueCountFrequency (%)
5 252
6.3%
4 450
11.3%
3 419
10.5%
2 416
10.5%
1 570
14.4%

w1_E02_16
Real number (ℝ)

Missing 

Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1865
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.299952539
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.498472image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.219972676
Coefficient of variation (CV)0.5304338483
Kurtosis-0.6063641141
Mean2.299952539
Median Absolute Deviation (MAD)1
Skewness0.630998636
Sum4846
Variance1.488333331
MonotonicityNot monotonic
2025-02-26T17:44:47.539949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 700
 
17.6%
2 591
 
14.9%
3 430
 
10.8%
4 256
 
6.4%
5 130
 
3.3%
(Missing) 1865
47.0%
ValueCountFrequency (%)
1 700
17.6%
2 591
14.9%
3 430
10.8%
4 256
 
6.4%
5 130
 
3.3%
ValueCountFrequency (%)
5 130
 
3.3%
4 256
 
6.4%
3 430
10.8%
2 591
14.9%
1 700
17.6%

w1_E02_17
Real number (ℝ)

Missing 

Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1868
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.482889734
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.581260image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.331319931
Coefficient of variation (CV)0.5361977669
Kurtosis-0.9811633165
Mean2.482889734
Median Absolute Deviation (MAD)1
Skewness0.4646056913
Sum5224
Variance1.772412758
MonotonicityNot monotonic
2025-02-26T17:44:47.622062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 657
 
16.5%
2 508
 
12.8%
3 415
 
10.4%
4 314
 
7.9%
5 210
 
5.3%
(Missing) 1868
47.0%
ValueCountFrequency (%)
1 657
16.5%
2 508
12.8%
3 415
10.4%
4 314
7.9%
5 210
 
5.3%
ValueCountFrequency (%)
5 210
 
5.3%
4 314
7.9%
3 415
10.4%
2 508
12.8%
1 657
16.5%

w1_E02_18
Real number (ℝ)

Missing 

Do you use social networking sites for reading news? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1868
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.255703422
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.663042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.246665845
Coefficient of variation (CV)0.552672764
Kurtosis-0.498661025
Mean2.255703422
Median Absolute Deviation (MAD)1
Skewness0.7280138107
Sum4746
Variance1.554175729
MonotonicityNot monotonic
2025-02-26T17:44:47.704378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 759
19.1%
2 570
 
14.4%
3 406
 
10.2%
4 216
 
5.4%
5 153
 
3.9%
(Missing) 1868
47.0%
ValueCountFrequency (%)
1 759
19.1%
2 570
14.4%
3 406
10.2%
4 216
 
5.4%
5 153
 
3.9%
ValueCountFrequency (%)
5 153
 
3.9%
4 216
 
5.4%
3 406
10.2%
2 570
14.4%
1 759
19.1%

w1_E02_19
Real number (ℝ)

Missing 

Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1872
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean2.077142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.745550image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.082913961
Coefficient of variation (CV)0.5213478493
Kurtosis-0.0984787596
Mean2.077142857
Median Absolute Deviation (MAD)1
Skewness0.8153688505
Sum4362
Variance1.172702648
MonotonicityNot monotonic
2025-02-26T17:44:47.784981image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 788
19.8%
2 668
 
16.8%
3 400
 
10.1%
4 182
 
4.6%
5 62
 
1.6%
(Missing) 1872
47.1%
ValueCountFrequency (%)
1 788
19.8%
2 668
16.8%
3 400
10.1%
4 182
 
4.6%
5 62
 
1.6%
ValueCountFrequency (%)
5 62
 
1.6%
4 182
 
4.6%
3 400
10.1%
2 668
16.8%
1 788
19.8%

w1_E02_20
Real number (ℝ)

Missing 

Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.2%
Missing1868
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean2.450570342
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.824080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.272792078
Coefficient of variation (CV)0.5193860614
Kurtosis-0.8687238493
Mean2.450570342
Median Absolute Deviation (MAD)1
Skewness0.4673144654
Sum5156
Variance1.619999675
MonotonicityNot monotonic
2025-02-26T17:44:47.865833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 633
 
15.9%
2 531
 
13.4%
3 468
 
11.8%
4 303
 
7.6%
5 169
 
4.3%
(Missing) 1868
47.0%
ValueCountFrequency (%)
1 633
15.9%
2 531
13.4%
3 468
11.8%
4 303
7.6%
5 169
 
4.3%
ValueCountFrequency (%)
5 169
 
4.3%
4 303
7.6%
3 468
11.8%
2 531
13.4%
1 633
15.9%

w1_E02_21
Real number (ℝ)

Missing 

Distinct5
Distinct (%)0.2%
Missing1861
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean2.54144955
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.905919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.317782707
Coefficient of variation (CV)0.5185161779
Kurtosis-0.9810209244
Mean2.54144955
Median Absolute Deviation (MAD)1
Skewness0.423739601
Sum5365
Variance1.736551263
MonotonicityNot monotonic
2025-02-26T17:44:47.947362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 590
 
14.9%
2 550
 
13.8%
3 427
 
10.8%
4 326
 
8.2%
5 218
 
5.5%
(Missing) 1861
46.9%
ValueCountFrequency (%)
1 590
14.9%
2 550
13.8%
3 427
10.8%
4 326
8.2%
5 218
 
5.5%
ValueCountFrequency (%)
5 218
 
5.5%
4 326
8.2%
3 427
10.8%
2 550
13.8%
1 590
14.9%

w1_E03
Real number (ℝ)

Missing 

You know what a chatbot is? 1. Yes, 2. No [go to F01]

Distinct2
Distinct (%)0.1%
Missing1806
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean1.478301016
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:47.987828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4996442835
Coefficient of variation (CV)0.3379854835
Kurtosis-1.994284081
Mean1.478301016
Median Absolute Deviation (MAD)0
Skewness0.08693800583
Sum3202
Variance0.24964441
MonotonicityNot monotonic
2025-02-26T17:44:48.025461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1130
28.4%
2 1036
26.1%
(Missing) 1806
45.5%
ValueCountFrequency (%)
1 1130
28.4%
2 1036
26.1%
ValueCountFrequency (%)
2 1036
26.1%
1 1130
28.4%

w1_E04
Real number (ℝ)

Missing 

Currently, do you use some chatbot? 1. Yes [go to E06], 2. No

Distinct2
Distinct (%)0.2%
Missing2843
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.91231178
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:48.062983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2829662823
Coefficient of variation (CV)0.1479707886
Kurtosis6.53436953
Mean1.91231178
Median Absolute Deviation (MAD)0
Skewness-2.919383009
Sum2159
Variance0.08006991689
MonotonicityNot monotonic
2025-02-26T17:44:48.100356image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1030
 
25.9%
1 99
 
2.5%
(Missing) 2843
71.6%
ValueCountFrequency (%)
1 99
 
2.5%
2 1030
25.9%
ValueCountFrequency (%)
2 1030
25.9%
1 99
 
2.5%

w1_E05
Real number (ℝ)

Missing 

In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]

Distinct2
Distinct (%)0.2%
Missing2942
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean1.101941748
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:48.137433image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3027186766
Coefficient of variation (CV)0.2747138651
Kurtosis4.952867304
Mean1.101941748
Median Absolute Deviation (MAD)0
Skewness2.635005473
Sum1135
Variance0.09163859719
MonotonicityNot monotonic
2025-02-26T17:44:48.174238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 925
 
23.3%
2 105
 
2.6%
(Missing) 2942
74.1%
ValueCountFrequency (%)
1 925
23.3%
2 105
 
2.6%
ValueCountFrequency (%)
2 105
 
2.6%
1 925
23.3%

w1_E06
Real number (ℝ)

Missing 

How many chatbot apps have you installed on your smartphone? N.|__|

Distinct9
Distinct (%)10.0%
Missing3882
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean2.466666667
Minimum0
Maximum9
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:48.210346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q11
median2
Q33
95-th percentile6
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.96142576
Coefficient of variation (CV)0.7951726053
Kurtosis2.334412134
Mean2.466666667
Median Absolute Deviation (MAD)1
Skewness1.522068185
Sum222
Variance3.847191011
MonotonicityNot monotonic
2025-02-26T17:44:48.247824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 30
 
0.8%
2 21
 
0.5%
3 17
 
0.4%
0 5
 
0.1%
5 5
 
0.1%
6 4
 
0.1%
4 4
 
0.1%
9 2
 
0.1%
8 2
 
0.1%
(Missing) 3882
97.7%
ValueCountFrequency (%)
0 5
 
0.1%
1 30
0.8%
2 21
0.5%
3 17
0.4%
4 4
 
0.1%
ValueCountFrequency (%)
9 2
 
0.1%
8 2
 
0.1%
6 4
0.1%
5 5
0.1%
4 4
0.1%

w1_E07
Text

Missing 

Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)

Distinct69
Distinct (%)87.3%
Missing3893
Missing (%)98.0%
Memory size33.1 KiB
2025-02-26T17:44:48.363273image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length74
Median length36
Mean length17.81012658
Min length1

Characters and Unicode

Total characters1407
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)82.3%

Sample

1st rowToki
2nd rowmy calendar, chimege
3rd rowmessenger
4th rowTidio Chatbots, Domino's Chatbot
5th rowwechat, facebook. instagram,gmail, email, teams, snapchat,tiktok, memechat
ValueCountFrequency (%)
messenger 26
 
14.0%
toki 11
 
5.9%
unitel 8
 
4.3%
facebook 6
 
3.2%
instagram 6
 
3.2%
wechat 5
 
2.7%
teams 5
 
2.7%
memechat 5
 
2.7%
skytel 4
 
2.2%
replika 3
 
1.6%
Other values (84) 107
57.5%
2025-02-26T17:44:48.551575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 163
 
11.6%
107
 
7.6%
s 95
 
6.8%
m 91
 
6.5%
a 88
 
6.3%
t 84
 
6.0%
o 83
 
5.9%
n 75
 
5.3%
i 73
 
5.2%
r 60
 
4.3%
Other values (62) 488
34.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1407
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 163
 
11.6%
107
 
7.6%
s 95
 
6.8%
m 91
 
6.5%
a 88
 
6.3%
t 84
 
6.0%
o 83
 
5.9%
n 75
 
5.3%
i 73
 
5.2%
r 60
 
4.3%
Other values (62) 488
34.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1407
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 163
 
11.6%
107
 
7.6%
s 95
 
6.8%
m 91
 
6.5%
a 88
 
6.3%
t 84
 
6.0%
o 83
 
5.9%
n 75
 
5.3%
i 73
 
5.2%
r 60
 
4.3%
Other values (62) 488
34.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1407
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 163
 
11.6%
107
 
7.6%
s 95
 
6.8%
m 91
 
6.5%
a 88
 
6.3%
t 84
 
6.0%
o 83
 
5.9%
n 75
 
5.3%
i 73
 
5.2%
r 60
 
4.3%
Other values (62) 488
34.7%

w1_E08
Real number (ℝ)

Missing 

How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day

Distinct5
Distinct (%)5.3%
Missing3878
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean3.255319149
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:48.600688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.390723261
Coefficient of variation (CV)0.4272156421
Kurtosis-1.287241395
Mean3.255319149
Median Absolute Deviation (MAD)1
Skewness-0.07898969744
Sum306
Variance1.934111187
MonotonicityNot monotonic
2025-02-26T17:44:48.640802image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 27
 
0.7%
3 22
 
0.6%
2 21
 
0.5%
4 13
 
0.3%
1 11
 
0.3%
(Missing) 3878
97.6%
ValueCountFrequency (%)
1 11
0.3%
2 21
0.5%
3 22
0.6%
4 13
0.3%
5 27
0.7%
ValueCountFrequency (%)
5 27
0.7%
4 13
0.3%
3 22
0.6%
2 21
0.5%
1 11
0.3%

w1_E09_1
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)5.9%
Missing3887
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean3.176470588
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:48.680100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.135744675
Coefficient of variation (CV)0.3575492495
Kurtosis-0.45611157
Mean3.176470588
Median Absolute Deviation (MAD)1
Skewness-0.4562902916
Sum270
Variance1.289915966
MonotonicityNot monotonic
2025-02-26T17:44:48.721627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 29
 
0.7%
3 28
 
0.7%
1 10
 
0.3%
2 10
 
0.3%
5 8
 
0.2%
(Missing) 3887
97.9%
ValueCountFrequency (%)
1 10
 
0.3%
2 10
 
0.3%
3 28
0.7%
4 29
0.7%
5 8
 
0.2%
ValueCountFrequency (%)
5 8
 
0.2%
4 29
0.7%
3 28
0.7%
2 10
 
0.3%
1 10
 
0.3%

w1_E09_2
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)5.9%
Missing3887
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean3.352941176
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:48.761287image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.324727127
Coefficient of variation (CV)0.3950940554
Kurtosis-1.224221182
Mean3.352941176
Median Absolute Deviation (MAD)1
Skewness-0.1773604371
Sum285
Variance1.754901961
MonotonicityNot monotonic
2025-02-26T17:44:48.801472image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 23
 
0.6%
2 20
 
0.5%
4 18
 
0.5%
3 17
 
0.4%
1 7
 
0.2%
(Missing) 3887
97.9%
ValueCountFrequency (%)
1 7
 
0.2%
2 20
0.5%
3 17
0.4%
4 18
0.5%
5 23
0.6%
ValueCountFrequency (%)
5 23
0.6%
4 18
0.5%
3 17
0.4%
2 20
0.5%
1 7
 
0.2%

w1_E09_3
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)6.0%
Missing3888
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean3.321428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:48.841081image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.163301433
Coefficient of variation (CV)0.3502412916
Kurtosis-0.7290280392
Mean3.321428571
Median Absolute Deviation (MAD)1
Skewness-0.283016409
Sum279
Variance1.353270224
MonotonicityNot monotonic
2025-02-26T17:44:48.882213image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 26
 
0.7%
3 23
 
0.6%
2 15
 
0.4%
5 14
 
0.4%
1 6
 
0.2%
(Missing) 3888
97.9%
ValueCountFrequency (%)
1 6
 
0.2%
2 15
0.4%
3 23
0.6%
4 26
0.7%
5 14
0.4%
ValueCountFrequency (%)
5 14
0.4%
4 26
0.7%
3 23
0.6%
2 15
0.4%
1 6
 
0.2%

w1_E09_4
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)6.0%
Missing3888
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean3.178571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:48.989499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.163301433
Coefficient of variation (CV)0.3659824733
Kurtosis-0.7653991577
Mean3.178571429
Median Absolute Deviation (MAD)1
Skewness0.01841976628
Sum267
Variance1.353270224
MonotonicityNot monotonic
2025-02-26T17:44:49.030621image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 29
 
0.7%
2 18
 
0.5%
4 17
 
0.4%
5 14
 
0.4%
1 6
 
0.2%
(Missing) 3888
97.9%
ValueCountFrequency (%)
1 6
 
0.2%
2 18
0.5%
3 29
0.7%
4 17
0.4%
5 14
0.4%
ValueCountFrequency (%)
5 14
0.4%
4 17
0.4%
3 29
0.7%
2 18
0.5%
1 6
 
0.2%

w1_E09_5
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)5.9%
Missing3887
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean3.2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:49.071039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.193234899
Coefficient of variation (CV)0.3728859059
Kurtosis-0.7530893166
Mean3.2
Median Absolute Deviation (MAD)1
Skewness-0.1395018501
Sum272
Variance1.423809524
MonotonicityNot monotonic
2025-02-26T17:44:49.111451image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 28
 
0.7%
4 20
 
0.5%
2 15
 
0.4%
5 14
 
0.4%
1 8
 
0.2%
(Missing) 3887
97.9%
ValueCountFrequency (%)
1 8
 
0.2%
2 15
0.4%
3 28
0.7%
4 20
0.5%
5 14
0.4%
ValueCountFrequency (%)
5 14
0.4%
4 20
0.5%
3 28
0.7%
2 15
0.4%
1 8
 
0.2%

w1_E09_6
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)5.9%
Missing3887
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean3.270588235
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:49.151483image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.294569567
Coefficient of variation (CV)0.3958216302
Kurtosis-1.057636325
Mean3.270588235
Median Absolute Deviation (MAD)1
Skewness-0.2189372929
Sum278
Variance1.675910364
MonotonicityNot monotonic
2025-02-26T17:44:49.190867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 22
 
0.6%
3 19
 
0.5%
5 18
 
0.5%
2 17
 
0.4%
1 9
 
0.2%
(Missing) 3887
97.9%
ValueCountFrequency (%)
1 9
0.2%
2 17
0.4%
3 19
0.5%
4 22
0.6%
5 18
0.5%
ValueCountFrequency (%)
5 18
0.5%
4 22
0.6%
3 19
0.5%
2 17
0.4%
1 9
0.2%

w1_E09_7
Real number (ℝ)

Missing 

How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)5.9%
Missing3887
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean3.4
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:49.229707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.552264091
Coefficient of variation (CV)0.4565482622
Kurtosis-1.249592426
Mean3.4
Median Absolute Deviation (MAD)1
Skewness-0.4834643228
Sum289
Variance2.40952381
MonotonicityNot monotonic
2025-02-26T17:44:49.270916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 30
 
0.8%
1 19
 
0.5%
4 16
 
0.4%
3 16
 
0.4%
2 4
 
0.1%
(Missing) 3887
97.9%
ValueCountFrequency (%)
1 19
0.5%
2 4
 
0.1%
3 16
0.4%
4 16
0.4%
5 30
0.8%
ValueCountFrequency (%)
5 30
0.8%
4 16
0.4%
3 16
0.4%
2 4
 
0.1%
1 19
0.5%

w1_F01
Real number (ℝ)

Missing 

Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]

Distinct4
Distinct (%)0.2%
Missing1820
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean3.236988848
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:49.309233image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.129696291
Coefficient of variation (CV)0.3489960404
Kurtosis-0.6238761454
Mean3.236988848
Median Absolute Deviation (MAD)0
Skewness-1.020674533
Sum6966
Variance1.276213709
MonotonicityNot monotonic
2025-02-26T17:44:49.347496image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 1406
35.4%
2 332
 
8.4%
1 282
 
7.1%
3 132
 
3.3%
(Missing) 1820
45.8%
ValueCountFrequency (%)
1 282
 
7.1%
2 332
 
8.4%
3 132
 
3.3%
4 1406
35.4%
ValueCountFrequency (%)
4 1406
35.4%
3 132
 
3.3%
2 332
 
8.4%
1 282
 
7.1%

w1_F02
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct25
Distinct (%)3.4%
Missing3232
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean9.317567568
Minimum-12
Maximum3000
Zeros53
Zeros (%)1.3%
Negative1
Negative (%)< 0.1%
Memory size35.0 KiB
2025-02-26T17:44:49.388502image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-12
5-th percentile0
Q11
median1
Q32
95-th percentile5
Maximum3000
Range3012
Interquartile range (IQR)1

Descriptive statistics

Standard deviation123.7588251
Coefficient of variation (CV)13.28231045
Kurtosis490.9395385
Mean9.317567568
Median Absolute Deviation (MAD)1
Skewness21.53006994
Sum6895
Variance15316.24678
MonotonicityNot monotonic
2025-02-26T17:44:49.433146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 362
 
9.1%
2 205
 
5.2%
3 55
 
1.4%
0 53
 
1.3%
4 22
 
0.6%
5 6
 
0.2%
8 5
 
0.1%
50 4
 
0.1%
6 4
 
0.1%
10 3
 
0.1%
Other values (15) 21
 
0.5%
(Missing) 3232
81.4%
ValueCountFrequency (%)
-12 1
 
< 0.1%
0 53
 
1.3%
1 362
9.1%
2 205
5.2%
3 55
 
1.4%
ValueCountFrequency (%)
3000 1
< 0.1%
1500 1
< 0.1%
200 2
0.1%
100 2
0.1%
80 1
< 0.1%

w1_F03_1
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Faith

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3908 
True
 
64
ValueCountFrequency (%)
False 3908
98.4%
True 64
 
1.6%
2025-02-26T17:44:49.474499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_2
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Arts and Performance

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3920 
True
 
52
ValueCountFrequency (%)
False 3920
98.7%
True 52
 
1.3%
2025-02-26T17:44:49.508959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_3
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3886 
True
 
86
ValueCountFrequency (%)
False 3886
97.8%
True 86
 
2.2%
2025-02-26T17:44:49.542437image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_4
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Cultural and National

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3930 
True
 
42
ValueCountFrequency (%)
False 3930
98.9%
True 42
 
1.1%
2025-02-26T17:44:49.576501image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_5
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Careers

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3822 
True
 
150
ValueCountFrequency (%)
False 3822
96.2%
True 150
 
3.8%
2025-02-26T17:44:49.609702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_6
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3827 
True
 
145
ValueCountFrequency (%)
False 3827
96.3%
True 145
 
3.7%
2025-02-26T17:44:49.642918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_7
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3952 
True
 
20
ValueCountFrequency (%)
False 3952
99.5%
True 20
 
0.5%
2025-02-26T17:44:49.676949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_8
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Media

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3953 
True
 
19
ValueCountFrequency (%)
False 3953
99.5%
True 19
 
0.5%
2025-02-26T17:44:49.710141image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_9
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Sport

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3923 
True
 
49
ValueCountFrequency (%)
False 3923
98.8%
True 49
 
1.2%
2025-02-26T17:44:49.744197image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_10
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Recreational

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3939 
True
 
33
ValueCountFrequency (%)
False 3939
99.2%
True 33
 
0.8%
2025-02-26T17:44:49.777483image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_other
Text

Missing 

Please mark the categories of interest of the society(ies) you belong to: Other, specify: ________

Distinct82
Distinct (%)89.1%
Missing3880
Missing (%)97.7%
Memory size35.4 KiB
2025-02-26T17:44:49.936106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length151
Median length50
Mean length24.10869565
Min length1

Characters and Unicode

Total characters2218
Distinct characters94
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)84.8%

Sample

1st rowИлтгэл мэтгэлцээн
2nd rowхувийн хөгжил
3rd rowМуис-н БС-н сурагчдын хөгжилд чиглэсэн үйл ажиллагаа явуулдаг БСОН Клуб
4th rowСэтгэл судлал
5th rowбизнесийн /маркетингийн/
ValueCountFrequency (%)
оюутны 14
 
4.7%
мэтгэлцээн 13
 
4.4%
зөвлөл 13
 
4.4%
илтгэл 10
 
3.4%
эрдэм 6
 
2.0%
үйл 4
 
1.4%
сэтгэл 4
 
1.4%
шинжилгээ 4
 
1.4%
oyutnii 4
 
1.4%
оюутан 4
 
1.4%
Other values (185) 220
74.3%
2025-02-26T17:44:50.170161image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
205
 
9.2%
л 181
 
8.2%
э 178
 
8.0%
г 118
 
5.3%
н 109
 
4.9%
а 101
 
4.6%
т 85
 
3.8%
о 82
 
3.7%
и 77
 
3.5%
у 76
 
3.4%
Other values (84) 1006
45.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2218
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
205
 
9.2%
л 181
 
8.2%
э 178
 
8.0%
г 118
 
5.3%
н 109
 
4.9%
а 101
 
4.6%
т 85
 
3.8%
о 82
 
3.7%
и 77
 
3.5%
у 76
 
3.4%
Other values (84) 1006
45.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2218
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
205
 
9.2%
л 181
 
8.2%
э 178
 
8.0%
г 118
 
5.3%
н 109
 
4.9%
а 101
 
4.6%
т 85
 
3.8%
о 82
 
3.7%
и 77
 
3.5%
у 76
 
3.4%
Other values (84) 1006
45.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2218
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
205
 
9.2%
л 181
 
8.2%
э 178
 
8.0%
г 118
 
5.3%
н 109
 
4.9%
а 101
 
4.6%
т 85
 
3.8%
о 82
 
3.7%
и 77
 
3.5%
у 76
 
3.4%
Other values (84) 1006
45.4%

w1_F04_1
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3914 
True
 
58
ValueCountFrequency (%)
False 3914
98.5%
True 58
 
1.5%
2025-02-26T17:44:50.219226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_2
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3910 
True
 
62
ValueCountFrequency (%)
False 3910
98.4%
True 62
 
1.6%
2025-02-26T17:44:50.252468image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_3
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3894 
True
 
78
ValueCountFrequency (%)
False 3894
98.0%
True 78
 
2.0%
2025-02-26T17:44:50.286584image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_4
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3945 
True
 
27
ValueCountFrequency (%)
False 3945
99.3%
True 27
 
0.7%
2025-02-26T17:44:50.319690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_5
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3843 
True
 
129
ValueCountFrequency (%)
False 3843
96.8%
True 129
 
3.2%
2025-02-26T17:44:50.353620image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_6
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3787 
True
 
185
ValueCountFrequency (%)
False 3787
95.3%
True 185
 
4.7%
2025-02-26T17:44:50.386852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_7
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3939 
True
 
33
ValueCountFrequency (%)
False 3939
99.2%
True 33
 
0.8%
2025-02-26T17:44:50.420025image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_8
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3954 
True
 
18
ValueCountFrequency (%)
False 3954
99.5%
True 18
 
0.5%
2025-02-26T17:44:50.454296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_9
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3882 
True
 
90
ValueCountFrequency (%)
False 3882
97.7%
True 90
 
2.3%
2025-02-26T17:44:50.487913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_10
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3942 
True
 
30
ValueCountFrequency (%)
False 3942
99.2%
True 30
 
0.8%
2025-02-26T17:44:50.522302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_other
Text

Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify

Distinct53
Distinct (%)96.4%
Missing3917
Missing (%)98.6%
Memory size33.3 KiB
2025-02-26T17:44:50.660800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length59
Median length27
Mean length17.01818182
Min length2

Characters and Unicode

Total characters936
Distinct characters85
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)92.7%

Sample

1st rowсудалгаа
2nd rowээжүүд рүү чиглэсэн
3rd rowШинжлэх ухаан, инженерчлэл
4th rowорон нутгийн
5th rowШашин
ValueCountFrequency (%)
мэтгэлцээн 12
 
9.2%
клуб 5
 
3.8%
илтгэл 5
 
3.8%
илтгэх 5
 
3.8%
урлаг 5
 
3.8%
номын 3
 
2.3%
шашин 3
 
2.3%
club 3
 
2.3%
шинжлэх 2
 
1.5%
ном 2
 
1.5%
Other values (80) 85
65.4%
2025-02-26T17:44:50.864380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
э 92
 
9.8%
л 77
 
8.2%
75
 
8.0%
н 62
 
6.6%
г 54
 
5.8%
а 43
 
4.6%
и 38
 
4.1%
т 35
 
3.7%
у 32
 
3.4%
р 28
 
3.0%
Other values (75) 400
42.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 936
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
э 92
 
9.8%
л 77
 
8.2%
75
 
8.0%
н 62
 
6.6%
г 54
 
5.8%
а 43
 
4.6%
и 38
 
4.1%
т 35
 
3.7%
у 32
 
3.4%
р 28
 
3.0%
Other values (75) 400
42.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 936
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
э 92
 
9.8%
л 77
 
8.2%
75
 
8.0%
н 62
 
6.6%
г 54
 
5.8%
а 43
 
4.6%
и 38
 
4.1%
т 35
 
3.7%
у 32
 
3.4%
р 28
 
3.0%
Other values (75) 400
42.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 936
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
э 92
 
9.8%
л 77
 
8.2%
75
 
8.0%
н 62
 
6.6%
г 54
 
5.8%
а 43
 
4.6%
и 38
 
4.1%
т 35
 
3.7%
у 32
 
3.4%
р 28
 
3.0%
Other values (75) 400
42.7%

w1_G01_1
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO

Distinct2
Distinct (%)0.1%
Missing1924
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean1.955566406
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:50.914189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061067483
Coefficient of variation (CV)0.1053949115
Kurtosis17.59785667
Mean1.955566406
Median Absolute Deviation (MAD)0
Skewness-4.425005334
Sum4005
Variance0.04247999168
MonotonicityNot monotonic
2025-02-26T17:44:50.951857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1957
49.3%
1 91
 
2.3%
(Missing) 1924
48.4%
ValueCountFrequency (%)
1 91
 
2.3%
2 1957
49.3%
ValueCountFrequency (%)
2 1957
49.3%
1 91
 
2.3%

w1_G01_2
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO

Distinct2
Distinct (%)0.1%
Missing1932
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean1.982843137
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:50.987781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1298875467
Coefficient of variation (CV)0.0655057096
Kurtosis53.43699355
Mean1.982843137
Median Absolute Deviation (MAD)0
Skewness-7.442083396
Sum4045
Variance0.01687077479
MonotonicityNot monotonic
2025-02-26T17:44:51.024555image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 2005
50.5%
1 35
 
0.9%
(Missing) 1932
48.6%
ValueCountFrequency (%)
1 35
 
0.9%
2 2005
50.5%
ValueCountFrequency (%)
2 2005
50.5%
1 35
 
0.9%

w1_G01_3
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO

Distinct2
Distinct (%)0.1%
Missing1937
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean1.966584767
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:51.062111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1797624404
Coefficient of variation (CV)0.09140843732
Kurtosis25.02543322
Mean1.966584767
Median Absolute Deviation (MAD)0
Skewness-5.19623317
Sum4002
Variance0.03231453497
MonotonicityNot monotonic
2025-02-26T17:44:51.098891image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1967
49.5%
1 68
 
1.7%
(Missing) 1937
48.8%
ValueCountFrequency (%)
1 68
 
1.7%
2 1967
49.5%
ValueCountFrequency (%)
2 1967
49.5%
1 68
 
1.7%

w1_G01_4
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO

Distinct2
Distinct (%)0.1%
Missing1922
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean1.828292683
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:51.134808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3772178757
Coefficient of variation (CV)0.2063224773
Kurtosis1.036618359
Mean1.828292683
Median Absolute Deviation (MAD)0
Skewness-1.742299623
Sum3748
Variance0.1422933257
MonotonicityNot monotonic
2025-02-26T17:44:51.173971image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1698
42.7%
1 352
 
8.9%
(Missing) 1922
48.4%
ValueCountFrequency (%)
1 352
 
8.9%
2 1698
42.7%
ValueCountFrequency (%)
2 1698
42.7%
1 352
 
8.9%

w1_G01_5
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO

Distinct2
Distinct (%)0.1%
Missing1920
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean1.797270955
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:51.211155image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4021303081
Coefficient of variation (CV)0.2237449545
Kurtosis0.1903571054
Mean1.797270955
Median Absolute Deviation (MAD)0
Skewness-1.479923148
Sum3688
Variance0.1617087847
MonotonicityNot monotonic
2025-02-26T17:44:51.249555image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1636
41.2%
1 416
 
10.5%
(Missing) 1920
48.3%
ValueCountFrequency (%)
1 416
 
10.5%
2 1636
41.2%
ValueCountFrequency (%)
2 1636
41.2%
1 416
 
10.5%

w1_G01_6
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO

Distinct2
Distinct (%)0.1%
Missing1930
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean1.950538688
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:51.286258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2168822866
Coefficient of variation (CV)0.1111909689
Kurtosis15.31025636
Mean1.950538688
Median Absolute Deviation (MAD)0
Skewness-4.158757262
Sum3983
Variance0.04703792623
MonotonicityNot monotonic
2025-02-26T17:44:51.322761image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1941
48.9%
1 101
 
2.5%
(Missing) 1930
48.6%
ValueCountFrequency (%)
1 101
 
2.5%
2 1941
48.9%
ValueCountFrequency (%)
2 1941
48.9%
1 101
 
2.5%

w1_G01_7
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO

Distinct2
Distinct (%)0.1%
Missing1939
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean1.951795376
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:51.359297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2142510611
Coefficient of variation (CV)0.109771272
Kurtosis15.83741785
Mean1.951795376
Median Absolute Deviation (MAD)0
Skewness-4.221591935
Sum3968
Variance0.04590351716
MonotonicityNot monotonic
2025-02-26T17:44:51.396808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1935
48.7%
1 98
 
2.5%
(Missing) 1939
48.8%
ValueCountFrequency (%)
1 98
 
2.5%
2 1935
48.7%
ValueCountFrequency (%)
2 1935
48.7%
1 98
 
2.5%

w1_G01_8
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO

Distinct2
Distinct (%)0.1%
Missing1925
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean1.72691744
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:51.432795image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4456517677
Coefficient of variation (CV)0.2580619996
Kurtosis-0.9618498333
Mean1.72691744
Median Absolute Deviation (MAD)0
Skewness-1.019358076
Sum3535
Variance0.1986054981
MonotonicityNot monotonic
2025-02-26T17:44:51.472106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1488
37.5%
1 559
 
14.1%
(Missing) 1925
48.5%
ValueCountFrequency (%)
1 559
 
14.1%
2 1488
37.5%
ValueCountFrequency (%)
2 1488
37.5%
1 559
 
14.1%

w1_G01_9
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO

Distinct2
Distinct (%)0.1%
Missing1992
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean1.940909091
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:51.509675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2358543367
Coefficient of variation (CV)0.1215174568
Kurtosis12.01923779
Mean1.940909091
Median Absolute Deviation (MAD)0
Skewness-3.742605798
Sum3843
Variance0.05562726813
MonotonicityNot monotonic
2025-02-26T17:44:51.721615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1863
46.9%
1 117
 
2.9%
(Missing) 1992
50.2%
ValueCountFrequency (%)
1 117
 
2.9%
2 1863
46.9%
ValueCountFrequency (%)
2 1863
46.9%
1 117
 
2.9%

w1_G02_1
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1929
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean1.829662261
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:51.763429image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.219881512
Coefficient of variation (CV)0.6667249679
Kurtosis2.230756474
Mean1.829662261
Median Absolute Deviation (MAD)0
Skewness1.664732433
Sum3738
Variance1.488110904
MonotonicityNot monotonic
2025-02-26T17:44:51.807516image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1142
28.8%
2 489
 
12.3%
3 184
 
4.6%
4 119
 
3.0%
5 64
 
1.6%
6 45
 
1.1%
(Missing) 1929
48.6%
ValueCountFrequency (%)
1 1142
28.8%
2 489
12.3%
3 184
 
4.6%
4 119
 
3.0%
5 64
 
1.6%
ValueCountFrequency (%)
6 45
 
1.1%
5 64
 
1.6%
4 119
 
3.0%
3 184
 
4.6%
2 489
12.3%

w1_G02_2
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1930
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean2.677766895
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:51.850218image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.701941511
Coefficient of variation (CV)0.6355824005
Kurtosis-1.048793678
Mean2.677766895
Median Absolute Deviation (MAD)1
Skewness0.5594345153
Sum5468
Variance2.896604908
MonotonicityNot monotonic
2025-02-26T17:44:51.891364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 790
19.9%
2 305
 
7.7%
3 279
 
7.0%
4 266
 
6.7%
5 245
 
6.2%
6 157
 
4.0%
(Missing) 1930
48.6%
ValueCountFrequency (%)
1 790
19.9%
2 305
 
7.7%
3 279
 
7.0%
4 266
 
6.7%
5 245
 
6.2%
ValueCountFrequency (%)
6 157
4.0%
5 245
6.2%
4 266
6.7%
3 279
7.0%
2 305
7.7%

w1_G02_3
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1943
Missing (%)48.9%
Infinite0
Infinite (%)0.0%
Mean1.523410547
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:51.931188image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.052408246
Coefficient of variation (CV)0.6908237887
Kurtosis5.606815317
Mean1.523410547
Median Absolute Deviation (MAD)0
Skewness2.415431225
Sum3091
Variance1.107563116
MonotonicityNot monotonic
2025-02-26T17:44:51.972617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1457
36.7%
2 328
 
8.3%
3 106
 
2.7%
5 56
 
1.4%
4 56
 
1.4%
6 26
 
0.7%
(Missing) 1943
48.9%
ValueCountFrequency (%)
1 1457
36.7%
2 328
 
8.3%
3 106
 
2.7%
4 56
 
1.4%
5 56
 
1.4%
ValueCountFrequency (%)
6 26
 
0.7%
5 56
 
1.4%
4 56
 
1.4%
3 106
 
2.7%
2 328
8.3%

w1_G02_4
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1933
Missing (%)48.7%
Infinite0
Infinite (%)0.0%
Mean1.642962236
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.013113image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.17298603
Coefficient of variation (CV)0.7139458252
Kurtosis3.587891983
Mean1.642962236
Median Absolute Deviation (MAD)0
Skewness2.051873944
Sum3350
Variance1.375896226
MonotonicityNot monotonic
2025-02-26T17:44:52.054951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1384
34.8%
2 331
 
8.3%
3 135
 
3.4%
4 83
 
2.1%
5 69
 
1.7%
6 37
 
0.9%
(Missing) 1933
48.7%
ValueCountFrequency (%)
1 1384
34.8%
2 331
 
8.3%
3 135
 
3.4%
4 83
 
2.1%
5 69
 
1.7%
ValueCountFrequency (%)
6 37
 
0.9%
5 69
 
1.7%
4 83
 
2.1%
3 135
3.4%
2 331
8.3%

w1_G02_5
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1940
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean1.38484252
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.095756image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9306460089
Coefficient of variation (CV)0.6720229887
Kurtosis9.615554094
Mean1.38484252
Median Absolute Deviation (MAD)0
Skewness3.032391171
Sum2814
Variance0.8661019939
MonotonicityNot monotonic
2025-02-26T17:44:52.137567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1605
40.4%
2 250
 
6.3%
3 80
 
2.0%
4 41
 
1.0%
5 31
 
0.8%
6 25
 
0.6%
(Missing) 1940
48.8%
ValueCountFrequency (%)
1 1605
40.4%
2 250
 
6.3%
3 80
 
2.0%
4 41
 
1.0%
5 31
 
0.8%
ValueCountFrequency (%)
6 25
 
0.6%
5 31
 
0.8%
4 41
 
1.0%
3 80
 
2.0%
2 250
6.3%

w1_G02_6
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1939
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean1.429414658
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.176732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9710679352
Coefficient of variation (CV)0.6793465631
Kurtosis8.1039011
Mean1.429414658
Median Absolute Deviation (MAD)0
Skewness2.79935509
Sum2906
Variance0.9429729348
MonotonicityNot monotonic
2025-02-26T17:44:52.219018image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1561
39.3%
2 264
 
6.6%
3 102
 
2.6%
4 47
 
1.2%
5 31
 
0.8%
6 28
 
0.7%
(Missing) 1939
48.8%
ValueCountFrequency (%)
1 1561
39.3%
2 264
 
6.6%
3 102
 
2.6%
4 47
 
1.2%
5 31
 
0.8%
ValueCountFrequency (%)
6 28
 
0.7%
5 31
 
0.8%
4 47
 
1.2%
3 102
 
2.6%
2 264
6.6%

w1_G02_7
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1950
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean1.952522255
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.257476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.460589332
Coefficient of variation (CV)0.7480525908
Kurtosis0.9358284366
Mean1.952522255
Median Absolute Deviation (MAD)0
Skewness1.450053003
Sum3948
Variance2.133321196
MonotonicityNot monotonic
2025-02-26T17:44:52.298361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1224
30.8%
2 287
 
7.2%
3 172
 
4.3%
4 148
 
3.7%
5 104
 
2.6%
6 87
 
2.2%
(Missing) 1950
49.1%
ValueCountFrequency (%)
1 1224
30.8%
2 287
 
7.2%
3 172
 
4.3%
4 148
 
3.7%
5 104
 
2.6%
ValueCountFrequency (%)
6 87
 
2.2%
5 104
 
2.6%
4 148
3.7%
3 172
4.3%
2 287
7.2%

w1_G02_8
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1939
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean1.545007378
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.336300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.124208345
Coefficient of variation (CV)0.7276394666
Kurtosis4.984508899
Mean1.545007378
Median Absolute Deviation (MAD)0
Skewness2.346494376
Sum3141
Variance1.263844402
MonotonicityNot monotonic
2025-02-26T17:44:52.376186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1496
37.7%
2 260
 
6.5%
3 112
 
2.8%
4 74
 
1.9%
5 53
 
1.3%
6 38
 
1.0%
(Missing) 1939
48.8%
ValueCountFrequency (%)
1 1496
37.7%
2 260
 
6.5%
3 112
 
2.8%
4 74
 
1.9%
5 53
 
1.3%
ValueCountFrequency (%)
6 38
 
1.0%
5 53
 
1.3%
4 74
 
1.9%
3 112
2.8%
2 260
6.5%

w1_G02_9
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1946
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean1.472852912
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.415431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9970343457
Coefficient of variation (CV)0.6769408795
Kurtosis6.522707582
Mean1.472852912
Median Absolute Deviation (MAD)0
Skewness2.537701192
Sum2984
Variance0.9940774865
MonotonicityNot monotonic
2025-02-26T17:44:52.456011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1510
38.0%
2 279
 
7.0%
3 112
 
2.8%
4 72
 
1.8%
6 27
 
0.7%
5 26
 
0.7%
(Missing) 1946
49.0%
ValueCountFrequency (%)
1 1510
38.0%
2 279
 
7.0%
3 112
 
2.8%
4 72
 
1.8%
5 26
 
0.7%
ValueCountFrequency (%)
6 27
 
0.7%
5 26
 
0.7%
4 72
 
1.8%
3 112
2.8%
2 279
7.0%

w1_G02_10
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1956
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.211309524
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.495760image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.527576478
Coefficient of variation (CV)0.6908017453
Kurtosis-0.06214180685
Mean2.211309524
Median Absolute Deviation (MAD)1
Skewness1.061981065
Sum4458
Variance2.333489897
MonotonicityNot monotonic
2025-02-26T17:44:52.535698image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1003
25.3%
2 339
 
8.5%
3 250
 
6.3%
4 187
 
4.7%
5 143
 
3.6%
6 94
 
2.4%
(Missing) 1956
49.2%
ValueCountFrequency (%)
1 1003
25.3%
2 339
 
8.5%
3 250
 
6.3%
4 187
 
4.7%
5 143
 
3.6%
ValueCountFrequency (%)
6 94
 
2.4%
5 143
3.6%
4 187
4.7%
3 250
6.3%
2 339
8.5%

w1_G02_11
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1954
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.859266601
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.574569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.423653103
Coefficient of variation (CV)0.7657068129
Kurtosis1.51310925
Mean1.859266601
Median Absolute Deviation (MAD)0
Skewness1.629740965
Sum3752
Variance2.026788158
MonotonicityNot monotonic
2025-02-26T17:44:52.614201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1299
32.7%
2 261
 
6.6%
3 170
 
4.3%
5 107
 
2.7%
4 100
 
2.5%
6 81
 
2.0%
(Missing) 1954
49.2%
ValueCountFrequency (%)
1 1299
32.7%
2 261
 
6.6%
3 170
 
4.3%
4 100
 
2.5%
5 107
 
2.7%
ValueCountFrequency (%)
6 81
 
2.0%
5 107
2.7%
4 100
 
2.5%
3 170
4.3%
2 261
6.6%

w1_G02_12
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1943
Missing (%)48.9%
Infinite0
Infinite (%)0.0%
Mean1.447511089
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.652553image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.063482967
Coefficient of variation (CV)0.7346976303
Kurtosis7.280121201
Mean1.447511089
Median Absolute Deviation (MAD)0
Skewness2.767016923
Sum2937
Variance1.130996021
MonotonicityNot monotonic
2025-02-26T17:44:52.693767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1597
40.2%
2 215
 
5.4%
3 80
 
2.0%
4 54
 
1.4%
5 44
 
1.1%
6 39
 
1.0%
(Missing) 1943
48.9%
ValueCountFrequency (%)
1 1597
40.2%
2 215
 
5.4%
3 80
 
2.0%
4 54
 
1.4%
5 44
 
1.1%
ValueCountFrequency (%)
6 39
 
1.0%
5 44
 
1.1%
4 54
 
1.4%
3 80
 
2.0%
2 215
5.4%

w1_G02_13
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1947
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean2.500246914
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.731131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.691972718
Coefficient of variation (CV)0.6767222504
Kurtosis-0.7481972644
Mean2.500246914
Median Absolute Deviation (MAD)1
Skewness0.77147333
Sum5063
Variance2.862771678
MonotonicityNot monotonic
2025-02-26T17:44:52.769509image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 897
22.6%
2 294
 
7.4%
3 265
 
6.7%
4 226
 
5.7%
5 179
 
4.5%
6 164
 
4.1%
(Missing) 1947
49.0%
ValueCountFrequency (%)
1 897
22.6%
2 294
 
7.4%
3 265
 
6.7%
4 226
 
5.7%
5 179
 
4.5%
ValueCountFrequency (%)
6 164
4.1%
5 179
4.5%
4 226
5.7%
3 265
6.7%
2 294
7.4%

w1_G02_14
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1949
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean1.879387049
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.805520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.440987277
Coefficient of variation (CV)0.7667325779
Kurtosis1.364600185
Mean1.879387049
Median Absolute Deviation (MAD)0
Skewness1.588449415
Sum3802
Variance2.076444332
MonotonicityNot monotonic
2025-02-26T17:44:52.844200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1297
32.7%
2 251
 
6.3%
3 171
 
4.3%
4 117
 
2.9%
5 100
 
2.5%
6 87
 
2.2%
(Missing) 1949
49.1%
ValueCountFrequency (%)
1 1297
32.7%
2 251
 
6.3%
3 171
 
4.3%
4 117
 
2.9%
5 100
 
2.5%
ValueCountFrequency (%)
6 87
 
2.2%
5 100
 
2.5%
4 117
2.9%
3 171
4.3%
2 251
6.3%

w1_G02_15
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1938
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean1.962635202
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.881876image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.473684608
Coefficient of variation (CV)0.7508703638
Kurtosis0.9284647841
Mean1.962635202
Median Absolute Deviation (MAD)0
Skewness1.448122307
Sum3992
Variance2.171746323
MonotonicityNot monotonic
2025-02-26T17:44:52.920552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1230
31.0%
2 279
 
7.0%
3 190
 
4.8%
4 135
 
3.4%
5 106
 
2.7%
6 94
 
2.4%
(Missing) 1938
48.8%
ValueCountFrequency (%)
1 1230
31.0%
2 279
 
7.0%
3 190
 
4.8%
4 135
 
3.4%
5 106
 
2.7%
ValueCountFrequency (%)
6 94
 
2.4%
5 106
 
2.7%
4 135
3.4%
3 190
4.8%
2 279
7.0%

w1_G02_16
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.3%
Missing1930
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean2.797747307
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:52.958444image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.751246443
Coefficient of variation (CV)0.6259487549
Kurtosis-1.109904595
Mean2.797747307
Median Absolute Deviation (MAD)1
Skewness0.5073334169
Sum5713
Variance3.066864105
MonotonicityNot monotonic
2025-02-26T17:44:52.997733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 729
 
18.4%
2 318
 
8.0%
3 290
 
7.3%
4 262
 
6.6%
5 228
 
5.7%
6 215
 
5.4%
(Missing) 1930
48.6%
ValueCountFrequency (%)
1 729
18.4%
2 318
8.0%
3 290
 
7.3%
4 262
 
6.6%
5 228
 
5.7%
ValueCountFrequency (%)
6 215
5.4%
5 228
5.7%
4 262
6.6%
3 290
7.3%
2 318
8.0%

w1_G03_1
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2008
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean3.737780041
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:53.035165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.567297729
Coefficient of variation (CV)0.419312456
Kurtosis-1.1984187
Mean3.737780041
Median Absolute Deviation (MAD)0
Skewness-0.6927847874
Sum7341
Variance2.456422171
MonotonicityNot monotonic
2025-02-26T17:44:53.076983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1079
27.2%
2 296
 
7.5%
1 282
 
7.1%
3 156
 
3.9%
4 151
 
3.8%
(Missing) 2008
50.6%
ValueCountFrequency (%)
1 282
 
7.1%
2 296
 
7.5%
3 156
 
3.9%
4 151
 
3.8%
5 1079
27.2%
ValueCountFrequency (%)
5 1079
27.2%
4 151
 
3.8%
3 156
 
3.9%
2 296
 
7.5%
1 282
 
7.1%

w1_G03_2
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2012
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean3.417346939
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:53.116897image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.585830926
Coefficient of variation (CV)0.4640532421
Kurtosis-1.494087108
Mean3.417346939
Median Absolute Deviation (MAD)1
Skewness-0.3332302573
Sum6698
Variance2.514859726
MonotonicityNot monotonic
2025-02-26T17:44:53.157268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 835
21.0%
1 353
 
8.9%
2 331
 
8.3%
3 256
 
6.4%
4 185
 
4.7%
(Missing) 2012
50.7%
ValueCountFrequency (%)
1 353
8.9%
2 331
 
8.3%
3 256
 
6.4%
4 185
 
4.7%
5 835
21.0%
ValueCountFrequency (%)
5 835
21.0%
4 185
 
4.7%
3 256
 
6.4%
2 331
 
8.3%
1 353
8.9%

w1_G03_3
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2024
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean4.040041068
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:53.197154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.53755868
Coefficient of variation (CV)0.3805799631
Kurtosis-0.4175884137
Mean4.040041068
Median Absolute Deviation (MAD)0
Skewness-1.161120517
Sum7870
Variance2.364086696
MonotonicityNot monotonic
2025-02-26T17:44:53.238602image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1333
33.6%
1 280
 
7.0%
2 169
 
4.3%
4 89
 
2.2%
3 77
 
1.9%
(Missing) 2024
51.0%
ValueCountFrequency (%)
1 280
 
7.0%
2 169
 
4.3%
3 77
 
1.9%
4 89
 
2.2%
5 1333
33.6%
ValueCountFrequency (%)
5 1333
33.6%
4 89
 
2.2%
3 77
 
1.9%
2 169
 
4.3%
1 280
 
7.0%

w1_G03_4
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2022
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean3.810769231
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:53.278839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.583193843
Coefficient of variation (CV)0.4154525626
Kurtosis-1.006121543
Mean3.810769231
Median Absolute Deviation (MAD)0
Skewness-0.8356596782
Sum7431
Variance2.506502743
MonotonicityNot monotonic
2025-02-26T17:44:53.319237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1132
28.5%
1 318
 
8.0%
2 207
 
5.2%
4 160
 
4.0%
3 133
 
3.3%
(Missing) 2022
50.9%
ValueCountFrequency (%)
1 318
 
8.0%
2 207
 
5.2%
3 133
 
3.3%
4 160
 
4.0%
5 1132
28.5%
ValueCountFrequency (%)
5 1132
28.5%
4 160
 
4.0%
3 133
 
3.3%
2 207
 
5.2%
1 318
 
8.0%

w1_G03_5
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2026
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean3.823741007
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:53.360042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.556567175
Coefficient of variation (CV)0.4070796563
Kurtosis-0.9816853956
Mean3.823741007
Median Absolute Deviation (MAD)0
Skewness-0.8303197695
Sum7441
Variance2.42290137
MonotonicityNot monotonic
2025-02-26T17:44:53.402859image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1130
28.4%
1 289
 
7.3%
2 218
 
5.5%
3 170
 
4.3%
4 139
 
3.5%
(Missing) 2026
51.0%
ValueCountFrequency (%)
1 289
 
7.3%
2 218
 
5.5%
3 170
 
4.3%
4 139
 
3.5%
5 1130
28.4%
ValueCountFrequency (%)
5 1130
28.4%
4 139
 
3.5%
3 170
 
4.3%
2 218
 
5.5%
1 289
 
7.3%

w1_G03_6
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2052
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean4.230208333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:53.503656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.486126202
Coefficient of variation (CV)0.3513127687
Kurtosis0.5445420358
Mean4.230208333
Median Absolute Deviation (MAD)0
Skewness-1.542982884
Sum8122
Variance2.208571087
MonotonicityNot monotonic
2025-02-26T17:44:53.553549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1474
37.1%
1 283
 
7.1%
2 68
 
1.7%
4 48
 
1.2%
3 47
 
1.2%
(Missing) 2052
51.7%
ValueCountFrequency (%)
1 283
 
7.1%
2 68
 
1.7%
3 47
 
1.2%
4 48
 
1.2%
5 1474
37.1%
ValueCountFrequency (%)
5 1474
37.1%
4 48
 
1.2%
3 47
 
1.2%
2 68
 
1.7%
1 283
 
7.1%

w1_G03_7
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2025
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean3.906522856
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:53.601563image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.558550193
Coefficient of variation (CV)0.3989609816
Kurtosis-0.7852957442
Mean3.906522856
Median Absolute Deviation (MAD)0
Skewness-0.9621090737
Sum7606
Variance2.429078705
MonotonicityNot monotonic
2025-02-26T17:44:53.652817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1206
30.4%
1 296
 
7.5%
2 187
 
4.7%
4 132
 
3.3%
3 126
 
3.2%
(Missing) 2025
51.0%
ValueCountFrequency (%)
1 296
 
7.5%
2 187
 
4.7%
3 126
 
3.2%
4 132
 
3.3%
5 1206
30.4%
ValueCountFrequency (%)
5 1206
30.4%
4 132
 
3.3%
3 126
 
3.2%
2 187
 
4.7%
1 296
 
7.5%

w1_G03_8
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2029
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean4.013381369
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:53.702282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.537658432
Coefficient of variation (CV)0.3831328972
Kurtosis-0.4636544084
Mean4.013381369
Median Absolute Deviation (MAD)0
Skewness-1.128341324
Sum7798
Variance2.364393452
MonotonicityNot monotonic
2025-02-26T17:44:53.755495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1296
32.6%
1 287
 
7.2%
2 152
 
3.8%
3 105
 
2.6%
4 103
 
2.6%
(Missing) 2029
51.1%
ValueCountFrequency (%)
1 287
 
7.2%
2 152
 
3.8%
3 105
 
2.6%
4 103
 
2.6%
5 1296
32.6%
ValueCountFrequency (%)
5 1296
32.6%
4 103
 
2.6%
3 105
 
2.6%
2 152
 
3.8%
1 287
 
7.2%

w1_G03_9
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2032
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean4.055670103
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:53.802006image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.537227169
Coefficient of variation (CV)0.3790316101
Kurtosis-0.318290049
Mean4.055670103
Median Absolute Deviation (MAD)0
Skewness-1.203698042
Sum7868
Variance2.363067369
MonotonicityNot monotonic
2025-02-26T17:44:53.850245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1337
33.7%
1 291
 
7.3%
2 138
 
3.5%
4 94
 
2.4%
3 80
 
2.0%
(Missing) 2032
51.2%
ValueCountFrequency (%)
1 291
 
7.3%
2 138
 
3.5%
3 80
 
2.0%
4 94
 
2.4%
5 1337
33.7%
ValueCountFrequency (%)
5 1337
33.7%
4 94
 
2.4%
3 80
 
2.0%
2 138
 
3.5%
1 291
 
7.3%

w1_G03_10
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2032
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean3.983505155
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:53.894112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.546506513
Coefficient of variation (CV)0.3882275667
Kurtosis-0.5720996822
Mean3.983505155
Median Absolute Deviation (MAD)0
Skewness-1.07788707
Sum7728
Variance2.391682396
MonotonicityNot monotonic
2025-02-26T17:44:53.938737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1272
32.0%
1 289
 
7.3%
2 164
 
4.1%
3 109
 
2.7%
4 106
 
2.7%
(Missing) 2032
51.2%
ValueCountFrequency (%)
1 289
 
7.3%
2 164
 
4.1%
3 109
 
2.7%
4 106
 
2.7%
5 1272
32.0%
ValueCountFrequency (%)
5 1272
32.0%
4 106
 
2.7%
3 109
 
2.7%
2 164
 
4.1%
1 289
 
7.3%

w1_G04_1
Real number (ℝ)

Missing 

During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing1992
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean3.334848485
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:53.982619image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.504414164
Coefficient of variation (CV)0.4511191951
Kurtosis-1.46682194
Mean3.334848485
Median Absolute Deviation (MAD)2
Skewness-0.1923346226
Sum6603
Variance2.263261978
MonotonicityNot monotonic
2025-02-26T17:44:54.027435image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 724
 
18.2%
2 431
 
10.9%
3 315
 
7.9%
1 288
 
7.3%
4 222
 
5.6%
(Missing) 1992
50.2%
ValueCountFrequency (%)
1 288
 
7.3%
2 431
10.9%
3 315
7.9%
4 222
 
5.6%
5 724
18.2%
ValueCountFrequency (%)
5 724
18.2%
4 222
 
5.6%
3 315
7.9%
2 431
10.9%
1 288
 
7.3%

w1_G04_2
Real number (ℝ)

Missing 

During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing1998
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean3.215805471
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:54.073380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.471139293
Coefficient of variation (CV)0.4574714816
Kurtosis-1.411331079
Mean3.215805471
Median Absolute Deviation (MAD)1
Skewness-0.07654388665
Sum6348
Variance2.164250821
MonotonicityNot monotonic
2025-02-26T17:44:54.116387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 619
 
15.6%
2 431
 
10.9%
3 387
 
9.7%
1 306
 
7.7%
4 231
 
5.8%
(Missing) 1998
50.3%
ValueCountFrequency (%)
1 306
7.7%
2 431
10.9%
3 387
9.7%
4 231
 
5.8%
5 619
15.6%
ValueCountFrequency (%)
5 619
15.6%
4 231
 
5.8%
3 387
9.7%
2 431
10.9%
1 306
7.7%

w1_G04_3
Real number (ℝ)

Missing 

During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2000
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean3.313894523
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:54.157561image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.421495359
Coefficient of variation (CV)0.4289500916
Kurtosis-1.421616873
Mean3.313894523
Median Absolute Deviation (MAD)1
Skewness-0.1082868923
Sum6535
Variance2.020649056
MonotonicityNot monotonic
2025-02-26T17:44:54.202657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 637
 
16.0%
2 521
 
13.1%
3 327
 
8.2%
4 280
 
7.0%
1 207
 
5.2%
(Missing) 2000
50.4%
ValueCountFrequency (%)
1 207
 
5.2%
2 521
13.1%
3 327
8.2%
4 280
7.0%
5 637
16.0%
ValueCountFrequency (%)
5 637
16.0%
4 280
7.0%
3 327
8.2%
2 521
13.1%
1 207
 
5.2%

w1_G04_4
Real number (ℝ)

Missing 

During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2026
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean3.552929085
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:54.246656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.491199256
Coefficient of variation (CV)0.4197098282
Kurtosis-1.429991981
Mean3.552929085
Median Absolute Deviation (MAD)1
Skewness-0.380156231
Sum6914
Variance2.223675221
MonotonicityNot monotonic
2025-02-26T17:44:54.381620image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 868
21.9%
2 439
 
11.1%
3 245
 
6.2%
1 205
 
5.2%
4 189
 
4.8%
(Missing) 2026
51.0%
ValueCountFrequency (%)
1 205
 
5.2%
2 439
11.1%
3 245
 
6.2%
4 189
 
4.8%
5 868
21.9%
ValueCountFrequency (%)
5 868
21.9%
4 189
 
4.8%
3 245
 
6.2%
2 439
11.1%
1 205
 
5.2%

w1_G04_5
Real number (ℝ)

Missing 

During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2004
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean3.365345528
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:54.423877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.421441689
Coefficient of variation (CV)0.4223761503
Kurtosis-1.381416511
Mean3.365345528
Median Absolute Deviation (MAD)1
Skewness-0.1745305946
Sum6623
Variance2.020496474
MonotonicityNot monotonic
2025-02-26T17:44:54.467933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 668
 
16.8%
2 461
 
11.6%
3 365
 
9.2%
4 264
 
6.6%
1 210
 
5.3%
(Missing) 2004
50.5%
ValueCountFrequency (%)
1 210
 
5.3%
2 461
11.6%
3 365
9.2%
4 264
 
6.6%
5 668
16.8%
ValueCountFrequency (%)
5 668
16.8%
4 264
 
6.6%
3 365
9.2%
2 461
11.6%
1 210
 
5.3%

w1_G04_6
Real number (ℝ)

Missing 

During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2007
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean3.523664122
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:54.510280image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.458200635
Coefficient of variation (CV)0.4138307696
Kurtosis-1.344412021
Mean3.523664122
Median Absolute Deviation (MAD)1
Skewness-0.3708208154
Sum6924
Variance2.126349093
MonotonicityNot monotonic
2025-02-26T17:44:54.553193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 808
20.3%
2 390
 
9.8%
3 319
 
8.0%
4 233
 
5.9%
1 215
 
5.4%
(Missing) 2007
50.5%
ValueCountFrequency (%)
1 215
 
5.4%
2 390
9.8%
3 319
 
8.0%
4 233
 
5.9%
5 808
20.3%
ValueCountFrequency (%)
5 808
20.3%
4 233
 
5.9%
3 319
 
8.0%
2 390
9.8%
1 215
 
5.4%

w1_G04_7
Real number (ℝ)

Missing 

During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2003
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean3.878110716
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:54.597756image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.477257569
Coefficient of variation (CV)0.3809219687
Kurtosis-0.8590345855
Mean3.878110716
Median Absolute Deviation (MAD)0
Skewness-0.861152
Sum7636
Variance2.182289925
MonotonicityNot monotonic
2025-02-26T17:44:54.641640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1126
28.3%
2 268
 
6.7%
1 216
 
5.4%
3 182
 
4.6%
4 177
 
4.5%
(Missing) 2003
50.4%
ValueCountFrequency (%)
1 216
 
5.4%
2 268
 
6.7%
3 182
 
4.6%
4 177
 
4.5%
5 1126
28.3%
ValueCountFrequency (%)
5 1126
28.3%
4 177
 
4.5%
3 182
 
4.6%
2 268
 
6.7%
1 216
 
5.4%

w1_G04_8
Real number (ℝ)

Missing 

During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2009
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean4.050433011
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:54.685567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.415295637
Coefficient of variation (CV)0.3494183543
Kurtosis-0.3396503376
Mean4.050433011
Median Absolute Deviation (MAD)0
Skewness-1.112914277
Sum7951
Variance2.003061739
MonotonicityNot monotonic
2025-02-26T17:44:54.731045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1253
31.5%
2 212
 
5.3%
1 184
 
4.6%
3 178
 
4.5%
4 136
 
3.4%
(Missing) 2009
50.6%
ValueCountFrequency (%)
1 184
 
4.6%
2 212
 
5.3%
3 178
 
4.5%
4 136
 
3.4%
5 1253
31.5%
ValueCountFrequency (%)
5 1253
31.5%
4 136
 
3.4%
3 178
 
4.5%
2 212
 
5.3%
1 184
 
4.6%

w1_G04_9
Real number (ℝ)

Missing 

During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing2008
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean3.864052953
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:54.780359image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.424389501
Coefficient of variation (CV)0.3686257715
Kurtosis-0.967012247
Mean3.864052953
Median Absolute Deviation (MAD)0
Skewness-0.7717744624
Sum7589
Variance2.02888545
MonotonicityNot monotonic
2025-02-26T17:44:54.824625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1076
27.1%
2 332
 
8.4%
3 211
 
5.3%
4 189
 
4.8%
1 156
 
3.9%
(Missing) 2008
50.6%
ValueCountFrequency (%)
1 156
 
3.9%
2 332
 
8.4%
3 211
 
5.3%
4 189
 
4.8%
5 1076
27.1%
ValueCountFrequency (%)
5 1076
27.1%
4 189
 
4.8%
3 211
 
5.3%
2 332
 
8.4%
1 156
 
3.9%

w1_G04_10
Real number (ℝ)

Missing 

During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.3%
Missing1999
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean3.467308667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:54.867792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.471697391
Coefficient of variation (CV)0.4244494886
Kurtosis-1.435889386
Mean3.467308667
Median Absolute Deviation (MAD)1
Skewness-0.2903385583
Sum6841
Variance2.165893209
MonotonicityNot monotonic
2025-02-26T17:44:54.911213image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 789
 
19.9%
2 456
 
11.5%
3 283
 
7.1%
4 230
 
5.8%
1 215
 
5.4%
(Missing) 1999
50.3%
ValueCountFrequency (%)
1 215
 
5.4%
2 456
11.5%
3 283
 
7.1%
4 230
 
5.8%
5 789
19.9%
ValueCountFrequency (%)
5 789
19.9%
4 230
 
5.8%
3 283
 
7.1%
2 456
11.5%
1 215
 
5.4%

w1_G05_1
Real number (ℝ)

Missing 

During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct6
Distinct (%)0.3%
Missing2019
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean3.702508961
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:54.952108image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.681650869
Coefficient of variation (CV)0.4541922482
Kurtosis-1.203540747
Mean3.702508961
Median Absolute Deviation (MAD)1
Skewness-0.1088037626
Sum7231
Variance2.827949645
MonotonicityNot monotonic
2025-02-26T17:44:54.990559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 398
 
10.0%
3 372
 
9.4%
4 331
 
8.3%
5 318
 
8.0%
2 279
 
7.0%
1 255
 
6.4%
(Missing) 2019
50.8%
ValueCountFrequency (%)
1 255
6.4%
2 279
7.0%
3 372
9.4%
4 331
8.3%
5 318
8.0%
ValueCountFrequency (%)
6 398
10.0%
5 318
8.0%
4 331
8.3%
3 372
9.4%
2 279
7.0%

w1_G05_2
Real number (ℝ)

Missing 

During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct6
Distinct (%)0.3%
Missing2033
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean3.570397112
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:55.028095image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.702778158
Coefficient of variation (CV)0.4769156215
Kurtosis-1.264205538
Mean3.570397112
Median Absolute Deviation (MAD)1
Skewness0.03627584163
Sum6923
Variance2.899453454
MonotonicityNot monotonic
2025-02-26T17:44:55.066800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 383
 
9.6%
2 359
 
9.0%
3 355
 
8.9%
4 308
 
7.8%
5 269
 
6.8%
1 265
 
6.7%
(Missing) 2033
51.2%
ValueCountFrequency (%)
1 265
6.7%
2 359
9.0%
3 355
8.9%
4 308
7.8%
5 269
6.8%
ValueCountFrequency (%)
6 383
9.6%
5 269
6.8%
4 308
7.8%
3 355
8.9%
2 359
9.0%

w1_G06
Real number (ℝ)

Missing 

Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400

Distinct7
Distinct (%)0.4%
Missing2049
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean3.496099844
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:55.101249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.745027237
Coefficient of variation (CV)0.4991354122
Kurtosis-0.5547940879
Mean3.496099844
Median Absolute Deviation (MAD)1
Skewness0.7592823431
Sum6723
Variance3.045120057
MonotonicityNot monotonic
2025-02-26T17:44:55.139344image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 677
 
17.0%
3 380
 
9.6%
4 295
 
7.4%
7 210
 
5.3%
5 167
 
4.2%
6 110
 
2.8%
1 84
 
2.1%
(Missing) 2049
51.6%
ValueCountFrequency (%)
1 84
 
2.1%
2 677
17.0%
3 380
9.6%
4 295
7.4%
5 167
 
4.2%
ValueCountFrequency (%)
7 210
5.3%
6 110
 
2.8%
5 167
4.2%
4 295
7.4%
3 380
9.6%

w1_G07_1
Real number (ℝ)

Missing 

During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.1%
Missing1986
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean1.152567976
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:55.180246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3596611219
Coefficient of variation (CV)0.3120519825
Kurtosis1.741893064
Mean1.152567976
Median Absolute Deviation (MAD)0
Skewness1.933944132
Sum2289
Variance0.1293561226
MonotonicityNot monotonic
2025-02-26T17:44:55.219570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1683
42.4%
2 303
 
7.6%
(Missing) 1986
50.0%
ValueCountFrequency (%)
1 1683
42.4%
2 303
 
7.6%
ValueCountFrequency (%)
2 303
 
7.6%
1 1683
42.4%

w1_G07_2
Real number (ℝ)

Missing 

During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.1%
Missing1985
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean1.341721188
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:55.266414image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4744060332
Coefficient of variation (CV)0.3535801906
Kurtosis-1.555417672
Mean1.341721188
Median Absolute Deviation (MAD)0
Skewness0.6679438121
Sum2666
Variance0.2250610844
MonotonicityNot monotonic
2025-02-26T17:44:55.328277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1308
32.9%
2 679
 
17.1%
(Missing) 1985
50.0%
ValueCountFrequency (%)
1 1308
32.9%
2 679
17.1%
ValueCountFrequency (%)
2 679
17.1%
1 1308
32.9%

w1_G08_1
Boolean

Which kind of books did you read? (tick all that apply): Literature & Novels

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
2709 
True
1263 
ValueCountFrequency (%)
False 2709
68.2%
True 1263
31.8%
2025-02-26T17:44:55.401537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_2
Boolean

Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3293 
True
679 
ValueCountFrequency (%)
False 3293
82.9%
True 679
 
17.1%
2025-02-26T17:44:55.440292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_3
Boolean

Imbalance 

Which kind of books did you read? (tick all that apply): Mystery & Thrillers

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3660 
True
 
312
ValueCountFrequency (%)
False 3660
92.1%
True 312
 
7.9%
2025-02-26T17:44:55.476183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_4
Boolean

Which kind of books did you read? (tick all that apply): History

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3414 
True
558 
ValueCountFrequency (%)
False 3414
86.0%
True 558
 
14.0%
2025-02-26T17:44:55.512347image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_5
Boolean

Imbalance 

Which kind of books did you read? (tick all that apply): Biographies

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3634 
True
 
338
ValueCountFrequency (%)
False 3634
91.5%
True 338
 
8.5%
2025-02-26T17:44:55.557631image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_6
Boolean

Imbalance 

Which kind of books did you read? (tick all that apply): Health, Mind & Body

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3574 
True
398 
ValueCountFrequency (%)
False 3574
90.0%
True 398
 
10.0%
2025-02-26T17:44:55.596791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_7
Boolean

Which kind of books did you read? (tick all that apply): Other kind of books

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
3382 
True
590 
ValueCountFrequency (%)
False 3382
85.1%
True 590
 
14.9%
2025-02-26T17:44:55.646838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G09
Real number (ℝ)

Missing 

In the last year or so, approximately how many books have you read (not for study)? |__|__|

Distinct44
Distinct (%)2.7%
Missing2350
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean7.813810111
Minimum0
Maximum100
Zeros11
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:55.956091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q310
95-th percentile24
Maximum100
Range100
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.01762083
Coefficient of variation (CV)1.282040476
Kurtosis27.45480568
Mean7.813810111
Median Absolute Deviation (MAD)3
Skewness4.363406297
Sum12674
Variance100.3527271
MonotonicityNot monotonic
2025-02-26T17:44:56.056228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
3 283
 
7.1%
5 240
 
6.0%
2 222
 
5.6%
10 150
 
3.8%
4 145
 
3.7%
6 87
 
2.2%
1 85
 
2.1%
8 63
 
1.6%
15 56
 
1.4%
7 47
 
1.2%
Other values (34) 244
 
6.1%
(Missing) 2350
59.2%
ValueCountFrequency (%)
0 11
 
0.3%
1 85
 
2.1%
2 222
5.6%
3 283
7.1%
4 145
3.7%
ValueCountFrequency (%)
100 5
0.1%
70 1
 
< 0.1%
60 2
 
0.1%
58 1
 
< 0.1%
56 2
 
0.1%

w1_G10_1
Real number (ℝ)

Missing 

Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.3%
Missing2075
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean4.028993147
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:56.135323image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.514244143
Coefficient of variation (CV)0.3758368625
Kurtosis-1.134549304
Mean4.028993147
Median Absolute Deviation (MAD)1
Skewness-0.1741430941
Sum7643
Variance2.292935325
MonotonicityNot monotonic
2025-02-26T17:44:56.252598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 476
 
12.0%
6 438
 
11.0%
5 395
 
9.9%
4 259
 
6.5%
2 247
 
6.2%
1 82
 
2.1%
(Missing) 2075
52.2%
ValueCountFrequency (%)
1 82
 
2.1%
2 247
6.2%
3 476
12.0%
4 259
6.5%
5 395
9.9%
ValueCountFrequency (%)
6 438
11.0%
5 395
9.9%
4 259
6.5%
3 476
12.0%
2 247
6.2%

w1_G10_2
Real number (ℝ)

Missing 

Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.3%
Missing2075
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean3.730100158
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:56.298143image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.638766144
Coefficient of variation (CV)0.4393356945
Kurtosis-1.229796397
Mean3.730100158
Median Absolute Deviation (MAD)1
Skewness-0.05109065913
Sum7076
Variance2.685554473
MonotonicityNot monotonic
2025-02-26T17:44:56.343549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 432
 
10.9%
6 378
 
9.5%
5 353
 
8.9%
2 317
 
8.0%
4 232
 
5.8%
1 185
 
4.7%
(Missing) 2075
52.2%
ValueCountFrequency (%)
1 185
4.7%
2 317
8.0%
3 432
10.9%
4 232
5.8%
5 353
8.9%
ValueCountFrequency (%)
6 378
9.5%
5 353
8.9%
4 232
5.8%
3 432
10.9%
2 317
8.0%

w1_G10_3
Real number (ℝ)

Missing 

Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.3%
Missing2090
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean4.958554729
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:56.387926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.279363725
Coefficient of variation (CV)0.2580114156
Kurtosis0.4504070627
Mean4.958554729
Median Absolute Deviation (MAD)1
Skewness-1.156146896
Sum9332
Variance1.636771541
MonotonicityNot monotonic
2025-02-26T17:44:56.442174image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 884
22.3%
5 495
 
12.5%
3 237
 
6.0%
4 171
 
4.3%
2 63
 
1.6%
1 32
 
0.8%
(Missing) 2090
52.6%
ValueCountFrequency (%)
1 32
 
0.8%
2 63
 
1.6%
3 237
6.0%
4 171
 
4.3%
5 495
12.5%
ValueCountFrequency (%)
6 884
22.3%
5 495
12.5%
4 171
 
4.3%
3 237
 
6.0%
2 63
 
1.6%

w1_G10_4
Real number (ℝ)

Missing 

Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.3%
Missing2079
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean4.269941891
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:56.488188image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.654492841
Coefficient of variation (CV)0.3874743224
Kurtosis-1.100279352
Mean4.269941891
Median Absolute Deviation (MAD)1
Skewness-0.470388944
Sum8083
Variance2.737346561
MonotonicityNot monotonic
2025-02-26T17:44:56.529446image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 664
 
16.7%
3 338
 
8.5%
5 331
 
8.3%
2 219
 
5.5%
4 217
 
5.5%
1 124
 
3.1%
(Missing) 2079
52.3%
ValueCountFrequency (%)
1 124
 
3.1%
2 219
5.5%
3 338
8.5%
4 217
5.5%
5 331
8.3%
ValueCountFrequency (%)
6 664
16.7%
5 331
8.3%
4 217
 
5.5%
3 338
8.5%
2 219
 
5.5%

w1_G11_1
Real number (ℝ)

Missing 

Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.3%
Missing2059
Missing (%)51.8%
Infinite0
Infinite (%)0.0%
Mean2.109252483
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:56.569821image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9836971905
Coefficient of variation (CV)0.4663724227
Kurtosis0.7299838266
Mean2.109252483
Median Absolute Deviation (MAD)1
Skewness0.9449970137
Sum4035
Variance0.9676601627
MonotonicityNot monotonic
2025-02-26T17:44:56.613001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 859
21.6%
1 539
 
13.6%
3 342
 
8.6%
4 113
 
2.8%
5 60
 
1.5%
(Missing) 2059
51.8%
ValueCountFrequency (%)
1 539
13.6%
2 859
21.6%
3 342
 
8.6%
4 113
 
2.8%
5 60
 
1.5%
ValueCountFrequency (%)
5 60
 
1.5%
4 113
 
2.8%
3 342
 
8.6%
2 859
21.6%
1 539
13.6%

w1_G11_2
Real number (ℝ)

Missing 

Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.3%
Missing2060
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean3.366108787
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:56.657049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.39516318
Coefficient of variation (CV)0.414473586
Kurtosis-1.308514556
Mean3.366108787
Median Absolute Deviation (MAD)1
Skewness-0.2197633546
Sum6436
Variance1.946480298
MonotonicityNot monotonic
2025-02-26T17:44:56.702378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 596
 
15.0%
2 424
 
10.7%
4 344
 
8.7%
3 342
 
8.6%
1 206
 
5.2%
(Missing) 2060
51.9%
ValueCountFrequency (%)
1 206
 
5.2%
2 424
10.7%
3 342
8.6%
4 344
8.7%
5 596
15.0%
ValueCountFrequency (%)
5 596
15.0%
4 344
8.7%
3 342
8.6%
2 424
10.7%
1 206
 
5.2%

w1_H01f
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct10
Distinct (%)0.5%
Missing2025
Missing (%)51.0%
Infinite0
Infinite (%)0.0%
Mean4.38366718
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:56.745390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.673565809
Coefficient of variation (CV)0.3817730087
Kurtosis0.7103832171
Mean4.38366718
Median Absolute Deviation (MAD)1
Skewness0.7319414276
Sum8535
Variance2.800822516
MonotonicityNot monotonic
2025-02-26T17:44:56.785393image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 574
 
14.5%
3 547
 
13.8%
4 263
 
6.6%
6 213
 
5.4%
2 159
 
4.0%
7 61
 
1.5%
8 52
 
1.3%
9 40
 
1.0%
1 23
 
0.6%
10 15
 
0.4%
(Missing) 2025
51.0%
ValueCountFrequency (%)
1 23
 
0.6%
2 159
 
4.0%
3 547
13.8%
4 263
6.6%
5 574
14.5%
ValueCountFrequency (%)
10 15
 
0.4%
9 40
 
1.0%
8 52
 
1.3%
7 61
 
1.5%
6 213
5.4%

w1_H01f_other
Text

Missing 

Which is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____

Distinct11
Distinct (%)100.0%
Missing3961
Missing (%)99.7%
Memory size31.8 KiB
2025-02-26T17:44:56.864297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length28
Median length9
Mean length9.545454545
Min length1

Characters and Unicode

Total characters105
Distinct characters39
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st rowСураагүй
2nd row1-12
3rd rowЭцэггүй
4th rowмэдэхгүй салсан
5th rowХагас өнчин
ValueCountFrequency (%)
мэдэхгүй 2
 
11.1%
сураагүй 1
 
5.6%
1-12 1
 
5.6%
эцэггүй 1
 
5.6%
салсан 1
 
5.6%
хагас 1
 
5.6%
өнчин 1
 
5.6%
нас 1
 
5.6%
барсан 1
 
5.6%
тул 1
 
5.6%
Other values (7) 7
38.9%
2025-02-26T17:44:56.995748image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
а 10
 
9.5%
7
 
6.7%
с 7
 
6.7%
г 6
 
5.7%
н 6
 
5.7%
й 5
 
4.8%
э 5
 
4.8%
ү 4
 
3.8%
r 4
 
3.8%
o 4
 
3.8%
Other values (29) 47
44.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 105
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
а 10
 
9.5%
7
 
6.7%
с 7
 
6.7%
г 6
 
5.7%
н 6
 
5.7%
й 5
 
4.8%
э 5
 
4.8%
ү 4
 
3.8%
r 4
 
3.8%
o 4
 
3.8%
Other values (29) 47
44.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 105
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
а 10
 
9.5%
7
 
6.7%
с 7
 
6.7%
г 6
 
5.7%
н 6
 
5.7%
й 5
 
4.8%
э 5
 
4.8%
ү 4
 
3.8%
r 4
 
3.8%
o 4
 
3.8%
Other values (29) 47
44.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 105
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
а 10
 
9.5%
7
 
6.7%
с 7
 
6.7%
г 6
 
5.7%
н 6
 
5.7%
й 5
 
4.8%
э 5
 
4.8%
ү 4
 
3.8%
r 4
 
3.8%
o 4
 
3.8%
Other values (29) 47
44.8%

w1_H01m
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct10
Distinct (%)0.5%
Missing2031
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean4.550747038
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:57.041555image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile7
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.500215005
Coefficient of variation (CV)0.3296634579
Kurtosis0.483564784
Mean4.550747038
Median Absolute Deviation (MAD)1
Skewness0.3647320425
Sum8833
Variance2.25064506
MonotonicityNot monotonic
2025-02-26T17:44:57.080732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 685
 
17.2%
3 452
 
11.4%
6 297
 
7.5%
4 244
 
6.1%
2 111
 
2.8%
7 71
 
1.8%
8 32
 
0.8%
9 27
 
0.7%
1 16
 
0.4%
10 6
 
0.2%
(Missing) 2031
51.1%
ValueCountFrequency (%)
1 16
 
0.4%
2 111
 
2.8%
3 452
11.4%
4 244
 
6.1%
5 685
17.2%
ValueCountFrequency (%)
10 6
 
0.2%
9 27
 
0.7%
8 32
 
0.8%
7 71
 
1.8%
6 297
7.5%

w1_H01m_other
Text

Missing 

Which is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____

Distinct6
Distinct (%)100.0%
Missing3966
Missing (%)99.8%
Memory size31.8 KiB
2025-02-26T17:44:57.154477image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length28
Median length12
Mean length12.66666667
Min length6

Characters and Unicode

Total characters76
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowТусгай дунд.
2nd rowпрофессор
3rd rowколлеж
4th rowШУ-ны доктор
5th rowТусгай дунд/Барилгын коллеж/
ValueCountFrequency (%)
тусгай 2
20.0%
коллеж 2
20.0%
дунд 1
10.0%
профессор 1
10.0%
шу-ны 1
10.0%
доктор 1
10.0%
дунд/барилгын 1
10.0%
professor 1
10.0%
2025-02-26T17:44:57.276847image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
о 6
 
7.9%
д 5
 
6.6%
л 5
 
6.6%
у 4
 
5.3%
с 4
 
5.3%
4
 
5.3%
н 4
 
5.3%
р 4
 
5.3%
г 3
 
3.9%
а 3
 
3.9%
Other values (22) 34
44.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
о 6
 
7.9%
д 5
 
6.6%
л 5
 
6.6%
у 4
 
5.3%
с 4
 
5.3%
4
 
5.3%
н 4
 
5.3%
р 4
 
5.3%
г 3
 
3.9%
а 3
 
3.9%
Other values (22) 34
44.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
о 6
 
7.9%
д 5
 
6.6%
л 5
 
6.6%
у 4
 
5.3%
с 4
 
5.3%
4
 
5.3%
н 4
 
5.3%
р 4
 
5.3%
г 3
 
3.9%
а 3
 
3.9%
Other values (22) 34
44.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
о 6
 
7.9%
д 5
 
6.6%
л 5
 
6.6%
у 4
 
5.3%
с 4
 
5.3%
4
 
5.3%
н 4
 
5.3%
р 4
 
5.3%
г 3
 
3.9%
а 3
 
3.9%
Other values (22) 34
44.7%

w1_H01fLSE
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_H01mLSE
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_H02f
Real number (ℝ)

Missing 

When you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)0.5%
Missing2011
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean2.839877613
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:57.320699image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.37415093
Coefficient of variation (CV)0.836004664
Kurtosis0.3840396535
Mean2.839877613
Median Absolute Deviation (MAD)1
Skewness1.365572456
Sum5569
Variance5.636592638
MonotonicityNot monotonic
2025-02-26T17:44:57.361547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 764
 
19.2%
1 649
 
16.3%
8 149
 
3.8%
7 136
 
3.4%
3 103
 
2.6%
5 59
 
1.5%
9 36
 
0.9%
4 35
 
0.9%
6 30
 
0.8%
(Missing) 2011
50.6%
ValueCountFrequency (%)
1 649
16.3%
2 764
19.2%
3 103
 
2.6%
4 35
 
0.9%
5 59
 
1.5%
ValueCountFrequency (%)
9 36
 
0.9%
8 149
3.8%
7 136
3.4%
6 30
 
0.8%
5 59
 
1.5%

w1_H03af
Real number (ℝ)

Missing 

More precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct19
Distinct (%)2.6%
Missing3232
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean9.213513514
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:57.401811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median9
Q314
95-th percentile19
Maximum19
Range18
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.258122177
Coefficient of variation (CV)0.6792329732
Kurtosis-1.46879036
Mean9.213513514
Median Absolute Deviation (MAD)6
Skewness0.1122824274
Sum6818
Variance39.16409319
MonotonicityNot monotonic
2025-02-26T17:44:57.518561image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 114
 
2.9%
13 86
 
2.2%
19 67
 
1.7%
1 64
 
1.6%
3 62
 
1.6%
14 52
 
1.3%
9 50
 
1.3%
5 38
 
1.0%
7 35
 
0.9%
15 32
 
0.8%
Other values (9) 140
 
3.5%
(Missing) 3232
81.4%
ValueCountFrequency (%)
1 64
1.6%
2 114
2.9%
3 62
1.6%
4 17
 
0.4%
5 38
 
1.0%
ValueCountFrequency (%)
19 67
1.7%
18 28
0.7%
17 31
0.8%
16 19
 
0.5%
15 32
0.8%

w1_H03af_other
Text

Missing 

More precisely he or guardian is/was an….? Answer: Other, please specify: _____

Distinct48
Distinct (%)92.3%
Missing3920
Missing (%)98.7%
Memory size33.0 KiB
2025-02-26T17:44:57.672672image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length53
Median length27
Mean length15.21153846
Min length3

Characters and Unicode

Total characters791
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)88.5%

Sample

1st rowEngineers
2nd rowтөмөр замчин
3rd rowБарилгын компанид даамал
4th rowЗамын инженер
5th rowцахилгаанчин
ValueCountFrequency (%)
жолооч 5
 
4.4%
эмч 4
 
3.5%
дарга 3
 
2.6%
замчин 2
 
1.8%
захирал 2
 
1.8%
засаг 2
 
1.8%
убтз 2
 
1.8%
мэргэжилтэн 2
 
1.8%
багийн 2
 
1.8%
уурхайд 2
 
1.8%
Other values (88) 88
77.2%
2025-02-26T17:44:57.878412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
а 85
 
10.7%
62
 
7.8%
н 51
 
6.4%
и 41
 
5.2%
л 37
 
4.7%
ч 33
 
4.2%
г 33
 
4.2%
о 29
 
3.7%
р 29
 
3.7%
м 24
 
3.0%
Other values (64) 367
46.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 791
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
а 85
 
10.7%
62
 
7.8%
н 51
 
6.4%
и 41
 
5.2%
л 37
 
4.7%
ч 33
 
4.2%
г 33
 
4.2%
о 29
 
3.7%
р 29
 
3.7%
м 24
 
3.0%
Other values (64) 367
46.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 791
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
а 85
 
10.7%
62
 
7.8%
н 51
 
6.4%
и 41
 
5.2%
л 37
 
4.7%
ч 33
 
4.2%
г 33
 
4.2%
о 29
 
3.7%
р 29
 
3.7%
м 24
 
3.0%
Other values (64) 367
46.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 791
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
а 85
 
10.7%
62
 
7.8%
н 51
 
6.4%
и 41
 
5.2%
л 37
 
4.7%
ч 33
 
4.2%
г 33
 
4.2%
о 29
 
3.7%
р 29
 
3.7%
м 24
 
3.0%
Other values (64) 367
46.4%

w1_H03bf
Real number (ℝ)

Missing 

w1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct16
Distinct (%)2.2%
Missing3240
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean9.666666667
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:57.928178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median8
Q314
95-th percentile16
Maximum16
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.526357928
Coefficient of variation (CV)0.4682439236
Kurtosis-1.19924136
Mean9.666666667
Median Absolute Deviation (MAD)3
Skewness-0.001689564473
Sum7076
Variance20.4879161
MonotonicityNot monotonic
2025-02-26T17:44:57.969032image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
8 127
 
3.2%
16 119
 
3.0%
14 79
 
2.0%
6 76
 
1.9%
10 58
 
1.5%
5 54
 
1.4%
15 41
 
1.0%
2 30
 
0.8%
9 28
 
0.7%
7 24
 
0.6%
Other values (6) 96
 
2.4%
(Missing) 3240
81.6%
ValueCountFrequency (%)
1 16
 
0.4%
2 30
0.8%
3 21
 
0.5%
4 19
 
0.5%
5 54
1.4%
ValueCountFrequency (%)
16 119
3.0%
15 41
 
1.0%
14 79
2.0%
13 18
 
0.5%
12 18
 
0.5%

w1_H03bf_other
Text

Missing 

w1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____

Distinct40
Distinct (%)56.3%
Missing3901
Missing (%)98.2%
Memory size33.0 KiB
2025-02-26T17:44:58.078093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length31
Median length30
Mean length10.81690141
Min length3

Characters and Unicode

Total characters768
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)46.5%

Sample

1st rowгазар тариалан эрхлэгч, малчин
2nd rowHudaldaachin
3rd rowhoolnii gazar
4th rowЭртний эдлэлийн наймаа
5th rowМалчин
ValueCountFrequency (%)
малчин 29
26.1%
жолооч 4
 
3.6%
эрхлэгч 4
 
3.6%
malchin 3
 
2.7%
хувиараа 3
 
2.7%
бизнес 3
 
2.7%
мал 3
 
2.7%
аж 3
 
2.7%
ахуй 3
 
2.7%
дэлгүүр 3
 
2.7%
Other values (50) 53
47.7%
2025-02-26T17:44:58.241160image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
а 93
 
12.1%
л 64
 
8.3%
и 60
 
7.8%
н 60
 
7.8%
ч 43
 
5.6%
40
 
5.2%
р 31
 
4.0%
м 29
 
3.8%
э 28
 
3.6%
у 25
 
3.3%
Other values (53) 295
38.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 768
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
а 93
 
12.1%
л 64
 
8.3%
и 60
 
7.8%
н 60
 
7.8%
ч 43
 
5.6%
40
 
5.2%
р 31
 
4.0%
м 29
 
3.8%
э 28
 
3.6%
у 25
 
3.3%
Other values (53) 295
38.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 768
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
а 93
 
12.1%
л 64
 
8.3%
и 60
 
7.8%
н 60
 
7.8%
ч 43
 
5.6%
40
 
5.2%
р 31
 
4.0%
м 29
 
3.8%
э 28
 
3.6%
у 25
 
3.3%
Other values (53) 295
38.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 768
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
а 93
 
12.1%
л 64
 
8.3%
и 60
 
7.8%
н 60
 
7.8%
ч 43
 
5.6%
40
 
5.2%
р 31
 
4.0%
м 29
 
3.8%
э 28
 
3.6%
у 25
 
3.3%
Other values (53) 295
38.4%

w1_H02m
Real number (ℝ)

Missing 

When you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)0.5%
Missing2013
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean2.416539051
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:58.290199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.131780073
Coefficient of variation (CV)0.8821624763
Kurtosis2.019387147
Mean2.416539051
Median Absolute Deviation (MAD)1
Skewness1.775736113
Sum4734
Variance4.544486279
MonotonicityNot monotonic
2025-02-26T17:44:58.329797image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 898
22.6%
2 609
 
15.3%
8 116
 
2.9%
4 107
 
2.7%
3 68
 
1.7%
6 53
 
1.3%
5 39
 
1.0%
7 38
 
1.0%
9 31
 
0.8%
(Missing) 2013
50.7%
ValueCountFrequency (%)
1 898
22.6%
2 609
15.3%
3 68
 
1.7%
4 107
 
2.7%
5 39
 
1.0%
ValueCountFrequency (%)
9 31
 
0.8%
8 116
2.9%
7 38
 
1.0%
6 53
1.3%
5 39
 
1.0%

w1_H03am
Real number (ℝ)

Missing 

More precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct19
Distinct (%)2.0%
Missing3021
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean8.366982124
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:58.371057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q311
95-th percentile19
Maximum19
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.402428619
Coefficient of variation (CV)0.645684255
Kurtosis-0.6473796806
Mean8.366982124
Median Absolute Deviation (MAD)4
Skewness0.6697998507
Sum7957
Variance29.18623499
MonotonicityNot monotonic
2025-02-26T17:44:58.413245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
7 134
 
3.4%
2 128
 
3.2%
5 93
 
2.3%
6 85
 
2.1%
19 80
 
2.0%
11 74
 
1.9%
9 59
 
1.5%
3 40
 
1.0%
8 36
 
0.9%
4 35
 
0.9%
Other values (9) 187
 
4.7%
(Missing) 3021
76.1%
ValueCountFrequency (%)
1 30
 
0.8%
2 128
3.2%
3 40
 
1.0%
4 35
 
0.9%
5 93
2.3%
ValueCountFrequency (%)
19 80
2.0%
18 24
 
0.6%
17 30
 
0.8%
16 22
 
0.6%
15 19
 
0.5%

w1_H03am_other
Text

Missing 

More precisely she or guardian is/was an….? Answer: Other, please specify: _____

Distinct55
Distinct (%)83.3%
Missing3906
Missing (%)98.3%
Memory size33.1 KiB
2025-02-26T17:44:58.549817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length56
Median length30
Mean length12.65151515
Min length3

Characters and Unicode

Total characters835
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)71.2%

Sample

1st rowEngineer
2nd rowОнгоцны буудалд аюулгүй байдлын үзлэг, шалгагч
3rd rowaccountant
4th rowsuvilagch
5th rowЗамын гүүр хоолойн инженер
ValueCountFrequency (%)
эмч 11
 
9.1%
сувилагч 6
 
5.0%
өмгөөлөгч 3
 
2.5%
нярав 3
 
2.5%
хүний 3
 
2.5%
их 3
 
2.5%
төрийн 3
 
2.5%
албан 3
 
2.5%
emch 2
 
1.7%
оёдолчин 2
 
1.7%
Other values (74) 82
67.8%
2025-02-26T17:44:58.745388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
 
6.6%
н 54
 
6.5%
а 53
 
6.3%
л 45
 
5.4%
ч 42
 
5.0%
г 42
 
5.0%
и 40
 
4.8%
э 40
 
4.8%
р 30
 
3.6%
м 29
 
3.5%
Other values (66) 405
48.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 835
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
55
 
6.6%
н 54
 
6.5%
а 53
 
6.3%
л 45
 
5.4%
ч 42
 
5.0%
г 42
 
5.0%
и 40
 
4.8%
э 40
 
4.8%
р 30
 
3.6%
м 29
 
3.5%
Other values (66) 405
48.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 835
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
55
 
6.6%
н 54
 
6.5%
а 53
 
6.3%
л 45
 
5.4%
ч 42
 
5.0%
г 42
 
5.0%
и 40
 
4.8%
э 40
 
4.8%
р 30
 
3.6%
м 29
 
3.5%
Other values (66) 405
48.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 835
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
55
 
6.6%
н 54
 
6.5%
а 53
 
6.3%
л 45
 
5.4%
ч 42
 
5.0%
г 42
 
5.0%
и 40
 
4.8%
э 40
 
4.8%
р 30
 
3.6%
м 29
 
3.5%
Other values (66) 405
48.5%

w1_H03bm
Real number (ℝ)

Missing 

w1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct16
Distinct (%)2.7%
Missing3387
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean9.813675214
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:58.794665image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median9
Q315
95-th percentile16
Maximum16
Range15
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.638782795
Coefficient of variation (CV)0.4726855835
Kurtosis-1.372225808
Mean9.813675214
Median Absolute Deviation (MAD)4
Skewness0.0300756764
Sum5741
Variance21.51830582
MonotonicityNot monotonic
2025-02-26T17:44:58.836634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
16 121
 
3.0%
6 80
 
2.0%
8 56
 
1.4%
10 55
 
1.4%
14 49
 
1.2%
5 45
 
1.1%
4 36
 
0.9%
15 29
 
0.7%
7 22
 
0.6%
2 20
 
0.5%
Other values (6) 72
 
1.8%
(Missing) 3387
85.3%
ValueCountFrequency (%)
1 7
 
0.2%
2 20
0.5%
3 11
 
0.3%
4 36
0.9%
5 45
1.1%
ValueCountFrequency (%)
16 121
3.0%
15 29
 
0.7%
14 49
1.2%
13 15
 
0.4%
12 13
 
0.3%

w1_H03bm_other
Text

Missing 

w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____

Distinct39
Distinct (%)60.9%
Missing3908
Missing (%)98.4%
Memory size32.9 KiB
2025-02-26T17:44:58.967670image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length31
Median length27.5
Mean length11.171875
Min length4

Characters and Unicode

Total characters715
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)53.1%

Sample

1st rowгазар тариалан эрхлэгч, малчин
2nd rowТогооч
3rd rowМалчин
4th rowмалчин
5th rowмалчин
ValueCountFrequency (%)
малчин 25
24.3%
дэлгүүр 4
 
3.9%
malchin 3
 
2.9%
мал 3
 
2.9%
аж 3
 
2.9%
ахуй 3
 
2.9%
эрхлэгч 3
 
2.9%
хувиараа 3
 
2.9%
ажиллуулдаг 3
 
2.9%
худалдагч 2
 
1.9%
Other values (46) 51
49.5%
2025-02-26T17:44:59.132689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
а 84
 
11.7%
л 73
 
10.2%
и 45
 
6.3%
н 44
 
6.2%
39
 
5.5%
ч 37
 
5.2%
у 26
 
3.6%
м 23
 
3.2%
д 22
 
3.1%
г 22
 
3.1%
Other values (57) 300
42.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 715
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
а 84
 
11.7%
л 73
 
10.2%
и 45
 
6.3%
н 44
 
6.2%
39
 
5.5%
ч 37
 
5.2%
у 26
 
3.6%
м 23
 
3.2%
д 22
 
3.1%
г 22
 
3.1%
Other values (57) 300
42.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 715
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
а 84
 
11.7%
л 73
 
10.2%
и 45
 
6.3%
н 44
 
6.2%
39
 
5.5%
ч 37
 
5.2%
у 26
 
3.6%
м 23
 
3.2%
д 22
 
3.1%
г 22
 
3.1%
Other values (57) 300
42.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 715
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
а 84
 
11.7%
л 73
 
10.2%
и 45
 
6.3%
н 44
 
6.2%
39
 
5.5%
ч 37
 
5.2%
у 26
 
3.6%
м 23
 
3.2%
д 22
 
3.1%
г 22
 
3.1%
Other values (57) 300
42.0%

w1_I00
Real number (ℝ)

Missing 

Do you want to participate? 1. Yes, 2. No [go to I05]

Distinct2
Distinct (%)0.1%
Missing2073
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean1.289099526
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:59.181807image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4534636402
Coefficient of variation (CV)0.3517677503
Kurtosis-1.134143003
Mean1.289099526
Median Absolute Deviation (MAD)0
Skewness0.931156577
Sum2448
Variance0.205629273
MonotonicityNot monotonic
2025-02-26T17:44:59.221626image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1350
34.0%
2 549
 
13.8%
(Missing) 2073
52.2%
ValueCountFrequency (%)
1 1350
34.0%
2 549
13.8%
ValueCountFrequency (%)
2 549
13.8%
1 1350
34.0%

w1_I01
Real number (ℝ)

Missing 

Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’

Distinct3
Distinct (%)0.2%
Missing2622
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean1.557777778
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:59.258700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5230019222
Coefficient of variation (CV)0.3357358987
Kurtosis-1.366366523
Mean1.557777778
Median Absolute Deviation (MAD)0
Skewness0.04816217582
Sum2103
Variance0.2735310106
MonotonicityNot monotonic
2025-02-26T17:44:59.300137image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 717
 
18.1%
1 615
 
15.5%
3 18
 
0.5%
(Missing) 2622
66.0%
ValueCountFrequency (%)
1 615
15.5%
2 717
18.1%
3 18
 
0.5%
ValueCountFrequency (%)
3 18
 
0.5%
2 717
18.1%
1 615
15.5%

w1_I03
Real number (ℝ)

Missing 

How many Mobile phones do you have? N. |__|

Distinct6
Distinct (%)0.8%
Missing3262
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean1.16056338
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:59.340553image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum18
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8121918095
Coefficient of variation (CV)0.699825467
Kurtosis290.8929716
Mean1.16056338
Median Absolute Deviation (MAD)0
Skewness15.3324988
Sum824
Variance0.6596555355
MonotonicityNot monotonic
2025-02-26T17:44:59.378104image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 625
 
15.7%
2 80
 
2.0%
3 2
 
0.1%
11 1
 
< 0.1%
4 1
 
< 0.1%
18 1
 
< 0.1%
(Missing) 3262
82.1%
ValueCountFrequency (%)
1 625
15.7%
2 80
 
2.0%
3 2
 
0.1%
4 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
11 1
 
< 0.1%
4 1
 
< 0.1%
3 2
 
0.1%
2 80
2.0%

w1_I04
Real number (ℝ)

Missing 

I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]

Distinct2
Distinct (%)0.3%
Missing3259
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean1.050490884
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:59.419139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.4
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2191093058
Coefficient of variation (CV)0.2085780174
Kurtosis14.97192118
Mean1.050490884
Median Absolute Deviation (MAD)0
Skewness4.114599849
Sum749
Variance0.04800888791
MonotonicityNot monotonic
2025-02-26T17:44:59.458159image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 677
 
17.0%
2 36
 
0.9%
(Missing) 3259
82.0%
ValueCountFrequency (%)
1 677
17.0%
2 36
 
0.9%
ValueCountFrequency (%)
2 36
 
0.9%
1 677
17.0%

w1_BFI15_1
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_2
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_3
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_4
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_5
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_6
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_7
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_8
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_9
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_10
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_11
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_12
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_13
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_14
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_BFI15_15
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_GT_BF15
Unsupported

Missing  Rejected  Unsupported 

Missing3972
Missing (%)100.0%
Memory size35.0 KiB

w1_N01
Real number (ℝ)

Missing 

How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____

Distinct3
Distinct (%)0.1%
Missing1416
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean1.136932707
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:59.495903image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3754050923
Coefficient of variation (CV)0.3301911273
Kurtosis7.113741654
Mean1.136932707
Median Absolute Deviation (MAD)0
Skewness2.735811961
Sum2906
Variance0.1409289833
MonotonicityNot monotonic
2025-02-26T17:44:59.536324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2235
56.3%
2 292
 
7.4%
3 29
 
0.7%
(Missing) 1416
35.6%
ValueCountFrequency (%)
1 2235
56.3%
2 292
 
7.4%
3 29
 
0.7%
ValueCountFrequency (%)
3 29
 
0.7%
2 292
 
7.4%
1 2235
56.3%

w1_N01_other
Text

Missing 

How did you make a decision to become a student? | Answer: Other, please specify: ____

Distinct39
Distinct (%)100.0%
Missing3933
Missing (%)99.0%
Memory size35.2 KiB
2025-02-26T17:44:59.707115image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length172
Median length63
Mean length56.38461538
Min length6

Characters and Unicode

Total characters2199
Distinct characters95
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st rowӨөрөө мэргэжлээ дээшлүүлхийг хүссэн "л" биш
2nd row12 oo tugsuud ih sueguulid surj oyutan bolno gdg niigmeeree hun bolgond bdg oilgolt oyutan boloh ystoi yg ng tiim shat daraalal ghiimuu
3rd rowӨөрийн дуртай ажил мэргэжил эзэмшин чавдартай боловсон хүчин болох
4th rowdiplomtoi baij bj hussen amjiltanda hurne, oor songolt baigaagui
5th rowмонголд сурахаас өөр аграгүй болсон учир
ValueCountFrequency (%)
хүссэн 7
 
2.2%
эцэг 5
 
1.6%
эхийн 4
 
1.3%
сургуульд 4
 
1.3%
тулд 4
 
1.3%
нийгмийн 4
 
1.3%
өөрөө 3
 
1.0%
л 3
 
1.0%
өөрийн 3
 
1.0%
болох 3
 
1.0%
Other values (237) 272
87.2%
2025-02-26T17:44:59.943367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
 
12.4%
а 135
 
6.1%
э 94
 
4.3%
л 85
 
3.9%
г 83
 
3.8%
н 80
 
3.6%
о 74
 
3.4%
д 69
 
3.1%
р 68
 
3.1%
с 63
 
2.9%
Other values (85) 1175
53.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2199
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
273
 
12.4%
а 135
 
6.1%
э 94
 
4.3%
л 85
 
3.9%
г 83
 
3.8%
н 80
 
3.6%
о 74
 
3.4%
д 69
 
3.1%
р 68
 
3.1%
с 63
 
2.9%
Other values (85) 1175
53.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2199
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
273
 
12.4%
а 135
 
6.1%
э 94
 
4.3%
л 85
 
3.9%
г 83
 
3.8%
н 80
 
3.6%
о 74
 
3.4%
д 69
 
3.1%
р 68
 
3.1%
с 63
 
2.9%
Other values (85) 1175
53.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2199
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
273
 
12.4%
а 135
 
6.1%
э 94
 
4.3%
л 85
 
3.9%
г 83
 
3.8%
н 80
 
3.6%
о 74
 
3.4%
д 69
 
3.1%
р 68
 
3.1%
с 63
 
2.9%
Other values (85) 1175
53.4%

w1_N02
Real number (ℝ)

Missing 

Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]

Distinct2
Distinct (%)0.1%
Missing1371
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean1.565167243
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:44:59.993962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.495830365
Coefficient of variation (CV)0.3167906606
Kurtosis-1.932284082
Mean1.565167243
Median Absolute Deviation (MAD)0
Skewness-0.2630633213
Sum4071
Variance0.2458477509
MonotonicityNot monotonic
2025-02-26T17:45:00.033069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1470
37.0%
1 1131
28.5%
(Missing) 1371
34.5%
ValueCountFrequency (%)
1 1131
28.5%
2 1470
37.0%
ValueCountFrequency (%)
2 1470
37.0%
1 1131
28.5%

w1_N03
Real number (ℝ)

Missing 

From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii

Distinct21
Distinct (%)1.4%
Missing2511
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean11.85078713
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:00.073997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17
median12
Q318
95-th percentile21
Maximum21
Range20
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.205469946
Coefficient of variation (CV)0.5236335677
Kurtosis-1.137885216
Mean11.85078713
Median Absolute Deviation (MAD)5
Skewness-0.2386036596
Sum17314
Variance38.50785726
MonotonicityNot monotonic
2025-02-26T17:45:00.120521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
13 127
 
3.2%
20 115
 
2.9%
1 108
 
2.7%
18 97
 
2.4%
7 90
 
2.3%
16 88
 
2.2%
12 86
 
2.2%
19 85
 
2.1%
11 79
 
2.0%
21 74
 
1.9%
Other values (11) 512
 
12.9%
(Missing) 2511
63.2%
ValueCountFrequency (%)
1 108
2.7%
2 26
 
0.7%
3 74
1.9%
4 37
 
0.9%
5 68
1.7%
ValueCountFrequency (%)
21 74
1.9%
20 115
2.9%
19 85
2.1%
18 97
2.4%
17 58
1.5%

w1_N04
Real number (ℝ)

Missing 

For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years

Distinct5
Distinct (%)0.2%
Missing1381
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean3.165187186
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:00.162320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.638496802
Coefficient of variation (CV)0.5176618966
Kurtosis-1.614196204
Mean3.165187186
Median Absolute Deviation (MAD)2
Skewness-0.07637511032
Sum8201
Variance2.68467177
MonotonicityNot monotonic
2025-02-26T17:45:00.203568image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 989
24.9%
1 629
15.8%
2 422
 
10.6%
3 421
 
10.6%
4 130
 
3.3%
(Missing) 1381
34.8%
ValueCountFrequency (%)
1 629
15.8%
2 422
10.6%
3 421
10.6%
4 130
 
3.3%
5 989
24.9%
ValueCountFrequency (%)
5 989
24.9%
4 130
 
3.3%
3 421
10.6%
2 422
10.6%
1 629
15.8%

w1_N05_1
Text

Missing 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Distinct159
Distinct (%)65.2%
Missing3728
Missing (%)93.9%
Memory size32.8 KiB
2025-02-26T17:45:00.351291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.172131148
Min length1

Characters and Unicode

Total characters1018
Distinct characters70
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)49.6%

Sample

1st row82080
2nd row.
3rd row1700
4th row17101
5th row120
ValueCountFrequency (%)
1 22
 
8.9%
14200 11
 
4.5%
tiim 8
 
3.3%
эмээ 8
 
3.3%
8
 
3.3%
тийм 5
 
2.0%
16080 4
 
1.6%
13000 4
 
1.6%
18072 3
 
1.2%
13311 3
 
1.2%
Other values (138) 170
69.1%
2025-02-26T17:45:00.562799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 215
21.1%
0 195
19.2%
3 84
 
8.3%
2 67
 
6.6%
4 51
 
5.0%
6 49
 
4.8%
7 38
 
3.7%
8 37
 
3.6%
э 26
 
2.6%
5 24
 
2.4%
Other values (60) 232
22.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1018
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 215
21.1%
0 195
19.2%
3 84
 
8.3%
2 67
 
6.6%
4 51
 
5.0%
6 49
 
4.8%
7 38
 
3.7%
8 37
 
3.6%
э 26
 
2.6%
5 24
 
2.4%
Other values (60) 232
22.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1018
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 215
21.1%
0 195
19.2%
3 84
 
8.3%
2 67
 
6.6%
4 51
 
5.0%
6 49
 
4.8%
7 38
 
3.7%
8 37
 
3.6%
э 26
 
2.6%
5 24
 
2.4%
Other values (60) 232
22.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1018
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 215
21.1%
0 195
19.2%
3 84
 
8.3%
2 67
 
6.6%
4 51
 
5.0%
6 49
 
4.8%
7 38
 
3.7%
8 37
 
3.6%
э 26
 
2.6%
5 24
 
2.4%
Other values (60) 232
22.8%

w1_N05_2
Text

Missing 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Distinct103
Distinct (%)73.6%
Missing3832
Missing (%)96.5%
Memory size32.3 KiB
2025-02-26T17:45:00.687606image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.078571429
Min length1

Characters and Unicode

Total characters571
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)62.9%

Sample

1st row16096
2nd row23070
3rd row14021
4th rowАхынд
5th rowТийм
ValueCountFrequency (%)
1 12
 
8.5%
6
 
4.3%
14200 5
 
3.5%
ахынд 4
 
2.8%
эгчий 4
 
2.8%
тийм 4
 
2.8%
13321 3
 
2.1%
0 3
 
2.1%
16051 2
 
1.4%
13000 2
 
1.4%
Other values (90) 96
68.1%
2025-02-26T17:45:00.860261image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 134
23.5%
0 100
17.5%
3 65
11.4%
2 38
 
6.7%
4 27
 
4.7%
6 26
 
4.6%
7 21
 
3.7%
5 17
 
3.0%
8 17
 
3.0%
9 11
 
1.9%
Other values (43) 115
20.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 571
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 134
23.5%
0 100
17.5%
3 65
11.4%
2 38
 
6.7%
4 27
 
4.7%
6 26
 
4.6%
7 21
 
3.7%
5 17
 
3.0%
8 17
 
3.0%
9 11
 
1.9%
Other values (43) 115
20.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 571
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 134
23.5%
0 100
17.5%
3 65
11.4%
2 38
 
6.7%
4 27
 
4.7%
6 26
 
4.6%
7 21
 
3.7%
5 17
 
3.0%
8 17
 
3.0%
9 11
 
1.9%
Other values (43) 115
20.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 571
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 134
23.5%
0 100
17.5%
3 65
11.4%
2 38
 
6.7%
4 27
 
4.7%
6 26
 
4.6%
7 21
 
3.7%
5 17
 
3.0%
8 17
 
3.0%
9 11
 
1.9%
Other values (43) 115
20.1%

w1_N05_3
Text

Missing 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Distinct18
Distinct (%)72.0%
Missing3947
Missing (%)99.4%
Memory size31.7 KiB
2025-02-26T17:45:00.930413image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length3.16
Min length1

Characters and Unicode

Total characters79
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)52.0%

Sample

1st row14200
2nd row13380
3rd row13370
4th row-
5th rowok
ValueCountFrequency (%)
0 3
12.0%
1 3
12.0%
3
12.0%
13380 2
 
8.0%
ok 2
 
8.0%
14200 1
 
4.0%
13370 1
 
4.0%
13210 1
 
4.0%
17032 1
 
4.0%
haaya 1
 
4.0%
Other values (7) 7
28.0%
2025-02-26T17:45:01.046130image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 20
25.3%
3 16
20.3%
0 12
15.2%
2 8
 
10.1%
4 4
 
5.1%
7 4
 
5.1%
a 3
 
3.8%
8 2
 
2.5%
o 2
 
2.5%
k 2
 
2.5%
Other values (5) 6
 
7.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 79
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 20
25.3%
3 16
20.3%
0 12
15.2%
2 8
 
10.1%
4 4
 
5.1%
7 4
 
5.1%
a 3
 
3.8%
8 2
 
2.5%
o 2
 
2.5%
k 2
 
2.5%
Other values (5) 6
 
7.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 79
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 20
25.3%
3 16
20.3%
0 12
15.2%
2 8
 
10.1%
4 4
 
5.1%
7 4
 
5.1%
a 3
 
3.8%
8 2
 
2.5%
o 2
 
2.5%
k 2
 
2.5%
Other values (5) 6
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 79
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 20
25.3%
3 16
20.3%
0 12
15.2%
2 8
 
10.1%
4 4
 
5.1%
7 4
 
5.1%
a 3
 
3.8%
8 2
 
2.5%
o 2
 
2.5%
k 2
 
2.5%
Other values (5) 6
 
7.6%

w1_N05_4
Text

Missing 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Distinct19
Distinct (%)95.0%
Missing3952
Missing (%)99.5%
Memory size31.7 KiB
2025-02-26T17:45:01.110715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length3.95
Min length1

Characters and Unicode

Total characters79
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)90.0%

Sample

1st row1
2nd row13260
3rd row13351
4th row-
5th row18100
ValueCountFrequency (%)
0 2
 
10.0%
1 1
 
5.0%
13260 1
 
5.0%
13351 1
 
5.0%
1
 
5.0%
18100 1
 
5.0%
тийм 1
 
5.0%
14060 1
 
5.0%
13321 1
 
5.0%
5 1
 
5.0%
Other values (9) 9
45.0%
2025-02-26T17:45:01.226862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 22
27.8%
0 20
25.3%
3 13
16.5%
5 6
 
7.6%
2 4
 
5.1%
6 4
 
5.1%
4 3
 
3.8%
8 2
 
2.5%
- 1
 
1.3%
т 1
 
1.3%
Other values (3) 3
 
3.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 79
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 22
27.8%
0 20
25.3%
3 13
16.5%
5 6
 
7.6%
2 4
 
5.1%
6 4
 
5.1%
4 3
 
3.8%
8 2
 
2.5%
- 1
 
1.3%
т 1
 
1.3%
Other values (3) 3
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 79
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 22
27.8%
0 20
25.3%
3 13
16.5%
5 6
 
7.6%
2 4
 
5.1%
6 4
 
5.1%
4 3
 
3.8%
8 2
 
2.5%
- 1
 
1.3%
т 1
 
1.3%
Other values (3) 3
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 79
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 22
27.8%
0 20
25.3%
3 13
16.5%
5 6
 
7.6%
2 4
 
5.1%
6 4
 
5.1%
4 3
 
3.8%
8 2
 
2.5%
- 1
 
1.3%
т 1
 
1.3%
Other values (3) 3
 
3.8%

w1_N05_5
Text

Missing 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Distinct114
Distinct (%)61.0%
Missing3785
Missing (%)95.3%
Memory size32.5 KiB
2025-02-26T17:45:01.354704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.342245989
Min length1

Characters and Unicode

Total characters812
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)42.8%

Sample

1st row13361
2nd row17011
3rd row18070
4th row17033
5th row13374
ValueCountFrequency (%)
14200 21
 
11.2%
1 10
 
5.3%
6
 
3.2%
2 5
 
2.7%
13373 4
 
2.1%
16081 3
 
1.6%
13302 3
 
1.6%
16080 3
 
1.6%
16067 3
 
1.6%
13000 3
 
1.6%
Other values (98) 126
67.4%
2025-02-26T17:45:01.542699image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 215
26.5%
0 178
21.9%
3 83
 
10.2%
4 62
 
7.6%
2 60
 
7.4%
6 48
 
5.9%
7 37
 
4.6%
8 26
 
3.2%
5 16
 
2.0%
9 12
 
1.5%
Other values (39) 75
 
9.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 812
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 215
26.5%
0 178
21.9%
3 83
 
10.2%
4 62
 
7.6%
2 60
 
7.4%
6 48
 
5.9%
7 37
 
4.6%
8 26
 
3.2%
5 16
 
2.0%
9 12
 
1.5%
Other values (39) 75
 
9.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 812
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 215
26.5%
0 178
21.9%
3 83
 
10.2%
4 62
 
7.6%
2 60
 
7.4%
6 48
 
5.9%
7 37
 
4.6%
8 26
 
3.2%
5 16
 
2.0%
9 12
 
1.5%
Other values (39) 75
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 812
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 215
26.5%
0 178
21.9%
3 83
 
10.2%
4 62
 
7.6%
2 60
 
7.4%
6 48
 
5.9%
7 37
 
4.6%
8 26
 
3.2%
5 16
 
2.0%
9 12
 
1.5%
Other values (39) 75
 
9.2%

w1_N05_6
Text

Missing 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Distinct503
Distinct (%)39.7%
Missing2704
Missing (%)68.1%
Memory size37.4 KiB
2025-02-26T17:45:01.686569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.380126183
Min length1

Characters and Unicode

Total characters5554
Distinct characters98
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique293 ?
Unique (%)23.1%

Sample

1st row85160
2nd row16065
3rd row16061
4th row14921
5th rowYes
ValueCountFrequency (%)
1 65
 
5.1%
55
 
4.3%
61020 28
 
2.2%
45040 25
 
2.0%
14200 23
 
1.8%
гэртэ 20
 
1.6%
тийм 15
 
1.2%
gerte 15
 
1.2%
16080 14
 
1.1%
17011 13
 
1.0%
Other values (470) 996
78.5%
2025-02-26T17:45:01.880899image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1253
22.6%
1 1210
21.8%
3 471
 
8.5%
2 438
 
7.9%
6 374
 
6.7%
4 365
 
6.6%
8 243
 
4.4%
5 214
 
3.9%
7 208
 
3.7%
9 85
 
1.5%
Other values (88) 693
12.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5554
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1253
22.6%
1 1210
21.8%
3 471
 
8.5%
2 438
 
7.9%
6 374
 
6.7%
4 365
 
6.6%
8 243
 
4.4%
5 214
 
3.9%
7 208
 
3.7%
9 85
 
1.5%
Other values (88) 693
12.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5554
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1253
22.6%
1 1210
21.8%
3 471
 
8.5%
2 438
 
7.9%
6 374
 
6.7%
4 365
 
6.6%
8 243
 
4.4%
5 214
 
3.9%
7 208
 
3.7%
9 85
 
1.5%
Other values (88) 693
12.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5554
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1253
22.6%
1 1210
21.8%
3 471
 
8.5%
2 438
 
7.9%
6 374
 
6.7%
4 365
 
6.6%
8 243
 
4.4%
5 214
 
3.9%
7 208
 
3.7%
9 85
 
1.5%
Other values (88) 693
12.5%

w1_N05_7
Text

Missing 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Distinct141
Distinct (%)71.9%
Missing3776
Missing (%)95.1%
Memory size32.7 KiB
2025-02-26T17:45:02.041913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.683673469
Min length1

Characters and Unicode

Total characters918
Distinct characters59
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)59.2%

Sample

1st rowger
2nd row14191
3rd row1330
4th rowГэртэ
5th row13342
ValueCountFrequency (%)
гэртэ 11
 
5.6%
14200 9
 
4.6%
gerte 9
 
4.6%
14192 6
 
3.0%
13373 4
 
2.0%
гэр 4
 
2.0%
14000 4
 
2.0%
4
 
2.0%
14191 3
 
1.5%
0 3
 
1.5%
Other values (125) 140
71.1%
2025-02-26T17:45:02.333237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 187
20.4%
1 158
17.2%
2 60
 
6.5%
3 60
 
6.5%
4 59
 
6.4%
6 59
 
6.4%
5 43
 
4.7%
8 41
 
4.5%
э 28
 
3.1%
e 21
 
2.3%
Other values (49) 202
22.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 918
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 187
20.4%
1 158
17.2%
2 60
 
6.5%
3 60
 
6.5%
4 59
 
6.4%
6 59
 
6.4%
5 43
 
4.7%
8 41
 
4.5%
э 28
 
3.1%
e 21
 
2.3%
Other values (49) 202
22.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 918
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 187
20.4%
1 158
17.2%
2 60
 
6.5%
3 60
 
6.5%
4 59
 
6.4%
6 59
 
6.4%
5 43
 
4.7%
8 41
 
4.5%
э 28
 
3.1%
e 21
 
2.3%
Other values (49) 202
22.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 918
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 187
20.4%
1 158
17.2%
2 60
 
6.5%
3 60
 
6.5%
4 59
 
6.4%
6 59
 
6.4%
5 43
 
4.7%
8 41
 
4.5%
э 28
 
3.1%
e 21
 
2.3%
Other values (49) 202
22.0%

w1_N05_8
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing3972
Missing (%)100.0%
Memory size31.6 KiB

w1_N06
Real number (ℝ)

Missing 

Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____

Distinct5
Distinct (%)0.3%
Missing2299
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean1.222952779
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:02.384065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6855648551
Coefficient of variation (CV)0.560581624
Kurtosis18.31267726
Mean1.222952779
Median Absolute Deviation (MAD)0
Skewness4.119767983
Sum2046
Variance0.4699991706
MonotonicityNot monotonic
2025-02-26T17:45:02.426670image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1432
36.1%
2 191
 
4.8%
5 34
 
0.9%
4 14
 
0.4%
3 2
 
0.1%
(Missing) 2299
57.9%
ValueCountFrequency (%)
1 1432
36.1%
2 191
 
4.8%
3 2
 
0.1%
4 14
 
0.4%
5 34
 
0.9%
ValueCountFrequency (%)
5 34
 
0.9%
4 14
 
0.4%
3 2
 
0.1%
2 191
 
4.8%
1 1432
36.1%

w1_N06_other
Text

Missing 

Please, give the reason to migrate to the city. | Answer: Other, please specify: ____

Distinct121
Distinct (%)87.1%
Missing3833
Missing (%)96.5%
Memory size36.3 KiB
2025-02-26T17:45:02.536571image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length143
Median length50
Mean length20.32374101
Min length1

Characters and Unicode

Total characters2825
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)78.4%

Sample

1st rowХот дотроо л шилжсэн
2nd rowUuguul hotiih
3rd rowШилжээгүй
4th rowуугуул улаанбаатарынх
5th rowуугуул
ValueCountFrequency (%)
уугуул 24
 
5.5%
хотод 24
 
5.5%
байсан 14
 
3.2%
хотынх 12
 
2.8%
ирсэн 12
 
2.8%
шилжээгүй 10
 
2.3%
хотын 10
 
2.3%
угаасаа 10
 
2.3%
hotod 9
 
2.1%
амьдардаг 8
 
1.8%
Other values (214) 301
69.4%
2025-02-26T17:45:02.712727image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
10.5%
а 251
 
8.9%
о 150
 
5.3%
г 125
 
4.4%
н 124
 
4.4%
у 120
 
4.2%
х 108
 
3.8%
э 106
 
3.8%
р 103
 
3.6%
л 96
 
3.4%
Other values (72) 1345
47.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2825
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
297
 
10.5%
а 251
 
8.9%
о 150
 
5.3%
г 125
 
4.4%
н 124
 
4.4%
у 120
 
4.2%
х 108
 
3.8%
э 106
 
3.8%
р 103
 
3.6%
л 96
 
3.4%
Other values (72) 1345
47.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2825
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
297
 
10.5%
а 251
 
8.9%
о 150
 
5.3%
г 125
 
4.4%
н 124
 
4.4%
у 120
 
4.2%
х 108
 
3.8%
э 106
 
3.8%
р 103
 
3.6%
л 96
 
3.4%
Other values (72) 1345
47.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2825
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
297
 
10.5%
а 251
 
8.9%
о 150
 
5.3%
г 125
 
4.4%
н 124
 
4.4%
у 120
 
4.2%
х 108
 
3.8%
э 106
 
3.8%
р 103
 
3.6%
л 96
 
3.4%
Other values (72) 1345
47.6%

w1_interviewtime
Real number (ℝ)

Zeros 

time of interview

Distinct3134
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1117.403394
Minimum0
Maximum30721.1
Zeros811
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:02.765106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.6925
median926.915
Q31622.48
95-th percentile2968.13
Maximum30721.1
Range30721.1
Interquartile range (IQR)1597.7875

Descriptive statistics

Standard deviation1685.618578
Coefficient of variation (CV)1.508513924
Kurtosis86.05133042
Mean1117.403394
Median Absolute Deviation (MAD)833.84
Skewness7.115297341
Sum4438326.28
Variance2841309.992
MonotonicityNot monotonic
2025-02-26T17:45:02.817973image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 811
 
20.4%
1380.87 2
 
0.1%
18.28 2
 
0.1%
27.24 2
 
0.1%
18.36 2
 
0.1%
205.52 2
 
0.1%
22.69 2
 
0.1%
1185.12 2
 
0.1%
1315.53 2
 
0.1%
2854.59 2
 
0.1%
Other values (3124) 3143
79.1%
ValueCountFrequency (%)
0.0 811
20.4%
8.09 1
 
< 0.1%
8.65 1
 
< 0.1%
9.45 1
 
< 0.1%
9.83 1
 
< 0.1%
ValueCountFrequency (%)
30721.1 1
< 0.1%
27180.0 1
< 0.1%
26540.5 1
< 0.1%
24552.8 1
< 0.1%
22863.9 1
< 0.1%

w1_GT_A0
Real number (ℝ)

Missing  Skewed 

Distinct2225
Distinct (%)70.4%
Missing811
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean53.05377096
Minimum3.63
Maximum18060.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:02.868265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.63
5-th percentile10.46
Q115.94
median21.84
Q332.34
95-th percentile117.11
Maximum18060.9
Range18057.27
Interquartile range (IQR)16.4

Descriptive statistics

Standard deviation392.4916989
Coefficient of variation (CV)7.397998141
Kurtosis1554.860666
Mean53.05377096
Median Absolute Deviation (MAD)7.07
Skewness36.89575513
Sum167702.97
Variance154049.7337
MonotonicityNot monotonic
2025-02-26T17:45:02.922003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.35 8
 
0.2%
15.51 7
 
0.2%
16.68 6
 
0.2%
18.1 6
 
0.2%
27.24 5
 
0.1%
19.21 5
 
0.1%
21.23 5
 
0.1%
14.18 5
 
0.1%
20.13 5
 
0.1%
20.08 4
 
0.1%
Other values (2215) 3105
78.2%
(Missing) 811
 
20.4%
ValueCountFrequency (%)
3.63 1
< 0.1%
4.36 1
< 0.1%
4.44 1
< 0.1%
4.54 1
< 0.1%
4.7 1
< 0.1%
ValueCountFrequency (%)
18060.9 1
< 0.1%
10297.2 1
< 0.1%
4177.68 1
< 0.1%
3256.27 1
< 0.1%
2122.08 1
< 0.1%

w1_GT_A1
Real number (ℝ)

Missing  Skewed 

Distinct2646
Distinct (%)95.1%
Missing1189
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean208.1589831
Minimum7.28
Maximum30620.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:02.974482image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.28
5-th percentile53.572
Q184.94
median136.98
Q3216.635
95-th percentile453.455
Maximum30620.9
Range30613.62
Interquartile range (IQR)131.695

Descriptive statistics

Standard deviation697.4452894
Coefficient of variation (CV)3.350541394
Kurtosis1342.462134
Mean208.1589831
Median Absolute Deviation (MAD)59.43
Skewness33.08359889
Sum579306.45
Variance486429.9317
MonotonicityNot monotonic
2025-02-26T17:45:03.026108image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.68 4
 
0.1%
107.81 3
 
0.1%
188.05 3
 
0.1%
66.86 3
 
0.1%
80.15 3
 
0.1%
130.95 3
 
0.1%
353.04 2
 
0.1%
151.92 2
 
0.1%
108.05 2
 
0.1%
124.65 2
 
0.1%
Other values (2636) 2756
69.4%
(Missing) 1189
29.9%
ValueCountFrequency (%)
7.28 1
< 0.1%
7.72 1
< 0.1%
9.04 1
< 0.1%
10.35 1
< 0.1%
10.42 1
< 0.1%
ValueCountFrequency (%)
30620.9 1
< 0.1%
11339.7 1
< 0.1%
9460.83 1
< 0.1%
7335.49 1
< 0.1%
7225.21 1
< 0.1%

w1_GT_B
Real number (ℝ)

Missing 

Distinct2282
Distinct (%)96.9%
Missing1617
Missing (%)40.7%
Infinite0
Infinite (%)0.0%
Mean377.4661316
Minimum5.84
Maximum25639.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:03.078027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.84
5-th percentile122.532
Q1204.15
median267.46
Q3356.77
95-th percentile728.448
Maximum25639.2
Range25633.36
Interquartile range (IQR)152.62

Descriptive statistics

Standard deviation943.5626287
Coefficient of variation (CV)2.499727922
Kurtosis459.7531509
Mean377.4661316
Median Absolute Deviation (MAD)73.61
Skewness19.65943871
Sum888932.74
Variance890310.4343
MonotonicityNot monotonic
2025-02-26T17:45:03.129468image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
173.27 3
 
0.1%
264.46 3
 
0.1%
275.02 3
 
0.1%
254.89 3
 
0.1%
234.86 3
 
0.1%
216.0 3
 
0.1%
344.76 2
 
0.1%
321.71 2
 
0.1%
221.91 2
 
0.1%
178.48 2
 
0.1%
Other values (2272) 2329
58.6%
(Missing) 1617
40.7%
ValueCountFrequency (%)
5.84 1
< 0.1%
7.45 1
< 0.1%
7.85 1
< 0.1%
8.65 1
< 0.1%
8.87 1
< 0.1%
ValueCountFrequency (%)
25639.2 1
< 0.1%
24103.5 1
< 0.1%
18499.5 1
< 0.1%
10780.7 1
< 0.1%
10668.5 1
< 0.1%

w1_GT_C
Real number (ℝ)

Missing 

Distinct2156
Distinct (%)93.7%
Missing1670
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean161.4539096
Minimum3.77
Maximum12453.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:03.180075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.77
5-th percentile41.443
Q184.045
median113.035
Q3153.505
95-th percentile301.6095
Maximum12453.2
Range12449.43
Interquartile range (IQR)69.46

Descriptive statistics

Standard deviation432.0611531
Coefficient of variation (CV)2.676064978
Kurtosis416.6473958
Mean161.4539096
Median Absolute Deviation (MAD)32.44
Skewness18.41351037
Sum371666.9
Variance186676.8401
MonotonicityNot monotonic
2025-02-26T17:45:03.233021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133.25 4
 
0.1%
100.44 3
 
0.1%
90.2 3
 
0.1%
57.97 3
 
0.1%
82.59 3
 
0.1%
82.35 3
 
0.1%
127.13 3
 
0.1%
96.89 3
 
0.1%
130.32 3
 
0.1%
85.79 3
 
0.1%
Other values (2146) 2271
57.2%
(Missing) 1670
42.0%
ValueCountFrequency (%)
3.77 1
< 0.1%
3.83 1
< 0.1%
4.43 1
< 0.1%
4.69 1
< 0.1%
5.01 1
< 0.1%
ValueCountFrequency (%)
12453.2 1
< 0.1%
8935.67 1
< 0.1%
7246.54 1
< 0.1%
5605.25 1
< 0.1%
4548.27 1
< 0.1%

w1_GT_D
Real number (ℝ)

Missing  Skewed 

Distinct1952
Distinct (%)87.6%
Missing1744
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean61.38687163
Minimum2.13
Maximum7781.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:03.283945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.13
5-th percentile17.8275
Q130.1325
median44.49
Q362.9
95-th percentile112.648
Maximum7781.74
Range7779.61
Interquartile range (IQR)32.7675

Descriptive statistics

Standard deviation193.5976112
Coefficient of variation (CV)3.153729878
Kurtosis1174.651844
Mean61.38687163
Median Absolute Deviation (MAD)15.89
Skewness31.34357757
Sum136769.95
Variance37480.03506
MonotonicityNot monotonic
2025-02-26T17:45:03.337839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.19 4
 
0.1%
44.61 4
 
0.1%
35.04 4
 
0.1%
21.23 3
 
0.1%
23.72 3
 
0.1%
20.61 3
 
0.1%
25.42 3
 
0.1%
39.01 3
 
0.1%
48.8 3
 
0.1%
43.53 3
 
0.1%
Other values (1942) 2195
55.3%
(Missing) 1744
43.9%
ValueCountFrequency (%)
2.13 1
< 0.1%
3.42 1
< 0.1%
3.5 1
< 0.1%
4.34 1
< 0.1%
4.95 1
< 0.1%
ValueCountFrequency (%)
7781.74 1
< 0.1%
3197.19 1
< 0.1%
2191.56 1
< 0.1%
1098.83 1
< 0.1%
1027.64 1
< 0.1%

w1_GT_E
Real number (ℝ)

Missing  Skewed 

Distinct2063
Distinct (%)94.9%
Missing1798
Missing (%)45.3%
Infinite0
Infinite (%)0.0%
Mean192.8494204
Minimum3.48
Maximum22749.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:03.390755image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.48
5-th percentile78.113
Q1118.845
median149.715
Q3198.4375
95-th percentile326.08
Maximum22749.1
Range22745.62
Interquartile range (IQR)79.5925

Descriptive statistics

Standard deviation549.9013497
Coefficient of variation (CV)2.851454511
Kurtosis1337.612884
Mean192.8494204
Median Absolute Deviation (MAD)36.025
Skewness34.18844544
Sum419254.64
Variance302391.4944
MonotonicityNot monotonic
2025-02-26T17:45:03.440889image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114.96 3
 
0.1%
159.71 3
 
0.1%
129.45 3
 
0.1%
217.56 2
 
0.1%
220.66 2
 
0.1%
135.94 2
 
0.1%
150.5 2
 
0.1%
260.32 2
 
0.1%
128.92 2
 
0.1%
177.45 2
 
0.1%
Other values (2053) 2151
54.2%
(Missing) 1798
45.3%
ValueCountFrequency (%)
3.48 1
< 0.1%
6.12 1
< 0.1%
6.21 1
< 0.1%
7.16 1
< 0.1%
7.47 1
< 0.1%
ValueCountFrequency (%)
22749.1 1
< 0.1%
9072.18 1
< 0.1%
4064.8 1
< 0.1%
4047.06 1
< 0.1%
3188.93 1
< 0.1%

w1_GT_F
Real number (ℝ)

Missing  Skewed 

Distinct1714
Distinct (%)79.6%
Missing1818
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean43.25456825
Minimum3.17
Maximum6156.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:03.488828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.17
5-th percentile8.31
Q112.22
median19.375
Q345.25
95-th percentile100.4585
Maximum6156.02
Range6152.85
Interquartile range (IQR)33.03

Descriptive statistics

Standard deviation189.2425655
Coefficient of variation (CV)4.375088532
Kurtosis766.5221872
Mean43.25456825
Median Absolute Deviation (MAD)9.825
Skewness26.06833656
Sum93170.34
Variance35812.74859
MonotonicityNot monotonic
2025-02-26T17:45:03.539607image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.37 6
 
0.2%
9.39 6
 
0.2%
13.25 5
 
0.1%
13.33 5
 
0.1%
8.9 5
 
0.1%
8.45 5
 
0.1%
12.7 5
 
0.1%
10.85 5
 
0.1%
11.0 5
 
0.1%
9.73 4
 
0.1%
Other values (1704) 2103
52.9%
(Missing) 1818
45.8%
ValueCountFrequency (%)
3.17 1
< 0.1%
3.87 1
< 0.1%
4.49 1
< 0.1%
4.56 1
< 0.1%
5.45 1
< 0.1%
ValueCountFrequency (%)
6156.02 1
< 0.1%
5178.45 1
< 0.1%
2114.43 1
< 0.1%
1555.24 1
< 0.1%
1218.87 1
< 0.1%

w1_GT_G1
Real number (ℝ)

Missing  Skewed 

Distinct1938
Distinct (%)91.7%
Missing1858
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean112.3493377
Minimum2.48
Maximum15603.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:03.589872image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.48
5-th percentile36.652
Q162.095
median81.005
Q3105.4475
95-th percentile172.9035
Maximum15603.4
Range15600.92
Interquartile range (IQR)43.3525

Descriptive statistics

Standard deviation444.9222608
Coefficient of variation (CV)3.960168077
Kurtosis872.3217476
Mean112.3493377
Median Absolute Deviation (MAD)21.355
Skewness27.92367668
Sum237506.5
Variance197955.8182
MonotonicityNot monotonic
2025-02-26T17:45:03.643222image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.68 3
 
0.1%
78.52 3
 
0.1%
98.86 3
 
0.1%
71.84 3
 
0.1%
75.24 3
 
0.1%
78.89 3
 
0.1%
94.2 3
 
0.1%
81.16 2
 
0.1%
53.89 2
 
0.1%
63.87 2
 
0.1%
Other values (1928) 2087
52.5%
(Missing) 1858
46.8%
ValueCountFrequency (%)
2.48 1
< 0.1%
4.19 1
< 0.1%
4.24 1
< 0.1%
4.51 1
< 0.1%
4.62 1
< 0.1%
ValueCountFrequency (%)
15603.4 1
< 0.1%
10956.5 1
< 0.1%
5154.0 1
< 0.1%
3755.95 1
< 0.1%
2051.08 1
< 0.1%

w1_GT_G2
Real number (ℝ)

Missing 

Distinct2000
Distinct (%)95.5%
Missing1878
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean149.1839303
Minimum2.47
Maximum4934.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:03.696590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.47
5-th percentile25.1645
Q180.505
median114.28
Q3153.1825
95-th percentile285.9215
Maximum4934.44
Range4931.97
Interquartile range (IQR)72.6775

Descriptive statistics

Standard deviation268.0776678
Coefficient of variation (CV)1.796960754
Kurtosis163.3941672
Mean149.1839303
Median Absolute Deviation (MAD)35.76
Skewness11.45838896
Sum312391.15
Variance71865.63597
MonotonicityNot monotonic
2025-02-26T17:45:03.824220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.63 3
 
0.1%
129.63 3
 
0.1%
106.71 3
 
0.1%
130.69 3
 
0.1%
102.07 2
 
0.1%
108.04 2
 
0.1%
92.23 2
 
0.1%
109.0 2
 
0.1%
121.5 2
 
0.1%
73.9 2
 
0.1%
Other values (1990) 2070
52.1%
(Missing) 1878
47.3%
ValueCountFrequency (%)
2.47 1
< 0.1%
2.69 1
< 0.1%
2.95 1
< 0.1%
2.98 1
< 0.1%
3.07 1
< 0.1%
ValueCountFrequency (%)
4934.44 1
< 0.1%
4883.86 1
< 0.1%
4232.47 1
< 0.1%
4099.09 1
< 0.1%
2843.08 1
< 0.1%

w1_GT_G3
Real number (ℝ)

Missing 

Distinct1922
Distinct (%)94.2%
Missing1931
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean133.9238217
Minimum1.35
Maximum6332.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:03.874402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.35
5-th percentile32.99
Q177.1
median103.29
Q3134.63
95-th percentile246.24
Maximum6332.01
Range6330.66
Interquartile range (IQR)57.53

Descriptive statistics

Standard deviation248.5102856
Coefficient of variation (CV)1.855609275
Kurtosis295.7741739
Mean133.9238217
Median Absolute Deviation (MAD)28.42
Skewness15.24538578
Sum273338.52
Variance61757.36207
MonotonicityNot monotonic
2025-02-26T17:45:03.927835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.86 4
 
0.1%
107.36 3
 
0.1%
95.18 3
 
0.1%
89.63 3
 
0.1%
106.13 3
 
0.1%
118.63 3
 
0.1%
76.27 3
 
0.1%
112.95 3
 
0.1%
108.47 3
 
0.1%
105.18 2
 
0.1%
Other values (1912) 2011
50.6%
(Missing) 1931
48.6%
ValueCountFrequency (%)
1.35 1
< 0.1%
2.15 1
< 0.1%
3.33 1
< 0.1%
3.48 1
< 0.1%
3.54 1
< 0.1%
ValueCountFrequency (%)
6332.01 1
< 0.1%
4654.19 1
< 0.1%
3514.56 1
< 0.1%
3481.87 1
< 0.1%
3330.3 1
< 0.1%

w1_GT_H1
Real number (ℝ)

Missing 

Distinct1592
Distinct (%)80.5%
Missing1994
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean37.23723458
Minimum2.17
Maximum1937.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:03.982961image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.17
5-th percentile14.8685
Q121.33
median28.16
Q337.5175
95-th percentile64.009
Maximum1937.59
Range1935.42
Interquartile range (IQR)16.1875

Descriptive statistics

Standard deviation76.6030746
Coefficient of variation (CV)2.05716336
Kurtosis401.9231912
Mean37.23723458
Median Absolute Deviation (MAD)7.48
Skewness18.28082973
Sum73655.25
Variance5868.031038
MonotonicityNot monotonic
2025-02-26T17:45:04.038190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.24 4
 
0.1%
27.46 4
 
0.1%
24.26 4
 
0.1%
21.01 4
 
0.1%
26.34 4
 
0.1%
21.3 4
 
0.1%
23.32 4
 
0.1%
22.1 4
 
0.1%
28.43 3
 
0.1%
28.44 3
 
0.1%
Other values (1582) 1940
48.8%
(Missing) 1994
50.2%
ValueCountFrequency (%)
2.17 1
< 0.1%
2.47 1
< 0.1%
2.98 1
< 0.1%
3.06 1
< 0.1%
3.38 1
< 0.1%
ValueCountFrequency (%)
1937.59 1
< 0.1%
1861.87 1
< 0.1%
1323.82 1
< 0.1%
683.78 1
< 0.1%
663.95 1
< 0.1%

w1_GT_H2
Real number (ℝ)

Missing  Skewed 

Distinct1830
Distinct (%)93.3%
Missing2010
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean93.2708002
Minimum2.32
Maximum8592.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:04.092503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.32
5-th percentile24.725
Q150.775
median71.915
Q399.2975
95-th percentile171.7865
Maximum8592.63
Range8590.31
Interquartile range (IQR)48.5225

Descriptive statistics

Standard deviation245.4905549
Coefficient of variation (CV)2.632019392
Kurtosis851.4275518
Mean93.2708002
Median Absolute Deviation (MAD)23.315
Skewness27.13197411
Sum182997.31
Variance60265.61254
MonotonicityNot monotonic
2025-02-26T17:45:04.143640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.47 4
 
0.1%
64.78 3
 
0.1%
69.33 3
 
0.1%
49.86 3
 
0.1%
38.01 3
 
0.1%
75.97 3
 
0.1%
70.88 3
 
0.1%
97.38 3
 
0.1%
69.74 3
 
0.1%
50.08 3
 
0.1%
Other values (1820) 1931
48.6%
(Missing) 2010
50.6%
ValueCountFrequency (%)
2.32 1
< 0.1%
5.61 1
< 0.1%
5.78 1
< 0.1%
5.99 1
< 0.1%
7.73 1
< 0.1%
ValueCountFrequency (%)
8592.63 1
< 0.1%
5430.74 1
< 0.1%
2198.66 1
< 0.1%
2040.87 1
< 0.1%
1115.27 1
< 0.1%

w1_GT_I1
Real number (ℝ)

Missing 

Distinct1830
Distinct (%)96.3%
Missing2071
Missing (%)52.1%
Infinite0
Infinite (%)0.0%
Mean144.3517675
Minimum3.83
Maximum6529.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:04.193856image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.83
5-th percentile21.39
Q167.67
median108.95
Q3171.85
95-th percentile323.59
Maximum6529.25
Range6525.42
Interquartile range (IQR)104.18

Descriptive statistics

Standard deviation244.5841108
Coefficient of variation (CV)1.694361732
Kurtosis352.9370267
Mean144.3517675
Median Absolute Deviation (MAD)48.62
Skewness16.5277783
Sum274412.71
Variance59821.38726
MonotonicityNot monotonic
2025-02-26T17:45:04.245941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132.81 2
 
0.1%
124.98 2
 
0.1%
140.6 2
 
0.1%
44.82 2
 
0.1%
108.17 2
 
0.1%
41.44 2
 
0.1%
102.33 2
 
0.1%
56.04 2
 
0.1%
111.42 2
 
0.1%
118.94 2
 
0.1%
Other values (1820) 1881
47.4%
(Missing) 2071
52.1%
ValueCountFrequency (%)
3.83 1
< 0.1%
4.67 1
< 0.1%
5.64 1
< 0.1%
6.88 1
< 0.1%
7.06 1
< 0.1%
ValueCountFrequency (%)
6529.25 1
< 0.1%
4579.61 1
< 0.1%
3852.97 1
< 0.1%
3522.04 1
< 0.1%
2659.3 1
< 0.1%

w1_GT_I2
Real number (ℝ)

Missing  Skewed 

Distinct671
Distinct (%)55.9%
Missing2771
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean9.327152373
Minimum1.72
Maximum1942.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:04.298128image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.72
5-th percentile3.6
Q15.07
median6.27
Q38.1
95-th percentile14.64
Maximum1942.34
Range1940.62
Interquartile range (IQR)3.03

Descriptive statistics

Standard deviation56.60680589
Coefficient of variation (CV)6.069034109
Kurtosis1136.063781
Mean9.327152373
Median Absolute Deviation (MAD)1.39
Skewness33.30890732
Sum11201.91
Variance3204.330474
MonotonicityNot monotonic
2025-02-26T17:45:04.353801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.53 7
 
0.2%
5.68 6
 
0.2%
6.13 6
 
0.2%
6.72 6
 
0.2%
5.95 6
 
0.2%
6.71 6
 
0.2%
5.49 6
 
0.2%
5.02 6
 
0.2%
6.34 6
 
0.2%
4.54 5
 
0.1%
Other values (661) 1141
28.7%
(Missing) 2771
69.8%
ValueCountFrequency (%)
1.72 1
< 0.1%
1.79 1
< 0.1%
1.81 1
< 0.1%
1.84 1
< 0.1%
1.93 1
< 0.1%
ValueCountFrequency (%)
1942.34 1
< 0.1%
237.99 1
< 0.1%
139.91 1
< 0.1%
84.02 1
< 0.1%
80.21 1
< 0.1%

w1_GT_N
Real number (ℝ)

Missing  Skewed 

Distinct2450
Distinct (%)94.0%
Missing1366
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean159.6388718
Minimum5.02
Maximum18458.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.0 KiB
2025-02-26T17:45:04.407291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.02
5-th percentile34.6
Q160.86
median97.67
Q3161.4675
95-th percentile358.02
Maximum18458.6
Range18453.58
Interquartile range (IQR)100.6075

Descriptive statistics

Standard deviation545.8781231
Coefficient of variation (CV)3.419456156
Kurtosis710.5236623
Mean159.6388718
Median Absolute Deviation (MAD)43.94
Skewness24.71218348
Sum416018.9
Variance297982.9252
MonotonicityNot monotonic
2025-02-26T17:45:04.460821image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.67 4
 
0.1%
75.48 4
 
0.1%
53.71 3
 
0.1%
52.03 3
 
0.1%
92.69 3
 
0.1%
71.82 3
 
0.1%
54.45 3
 
0.1%
92.86 3
 
0.1%
79.11 2
 
0.1%
26.03 2
 
0.1%
Other values (2440) 2576
64.9%
(Missing) 1366
34.4%
ValueCountFrequency (%)
5.02 1
< 0.1%
7.45 1
< 0.1%
8.51 1
< 0.1%
10.93 1
< 0.1%
17.32 1
< 0.1%
ValueCountFrequency (%)
18458.6 1
< 0.1%
13588.4 1
< 0.1%
11891.5 1
< 0.1%
4585.65 1
< 0.1%
4232.6 1
< 0.1%